Quality Of Agricultural Land Research Articles

Tourism and the livelihood of the people of a residential community in Vietnam's tourism destination

This paper investigates the long-term relationship between factors affecting people's livelihoods after tourism investment in the tourism sub-region south of the Red River in Vietnam. The study used survey data and multiple linear regression econometric models from the three provinces of Ninh Binh, Nam Dinh and Thai Binh in the South Red River tourism sub-region from February 2023 to August 2023. Research results show that all eight factors are statistically significant and impact people's livelihoods. These seven factors have a positive impact while one factor harms their livelihoods. The three factors that have the most positive impact on livelihoods are (1) employment in the tourist destination, (2) local government policies and (3) agricultural land quality. The remaining factors such as (4) social culture, (5) infrastructure, (6) jobs outside tourist destinations and (7) social welfare have the same impact but less impact. Meanwhile, the factor that harms their livelihoods is the amount of agricultural land. In addition, employers in the tourism destination and local government policies continue to have an important impact on the livelihoods of the local population to assess the sustainability of the impact factors while less impact variables are excluded. The research results are the basis for proposing recommendations to diversify people's livelihoods after tourism develops in the southern Red River tourism sub-region.

Pengelolaan DAS Mikro: Best Practice Penanganan Potensi Konflik Akibat Semburan Gas di Lahan Pertanian Desa Nglobo, Kabupaten Blora, Jawa Tengah

Gas emissions occurring in the agricultural land of Nglobo Village, Blora Regency, Indonesia, have led to land contamination, resulting in worsened of watershed health over time. The evidence is apparent in the water and soil quality exceeding water quality standard. Consequently, conflicts have arisen in the community due to failed harvests of rice and corn, impacting crops failed. The aim of this research is to restore the health of the contaminated watershed, addressing both agricultural land and water quality. The methodology in this research involves a micro watershed management approach, which includes discussion activities with the community and other parties, remediation efforts, field schools and monitoring and evaluation. The study findings suggest that the addition of organic fertilizers to restore soil fertility, particularly enhancing soil organic carbon, is crucial. This is achieved by applying 29.58 tons/ha to 30.14 tons/ha of fertilizer on the affected land. Post-remediation water quality shows values below the threshold, indicating the health of the Nglobo river basin. The results of the planting test evaluation showed that rice and corn were in good condition, as evidenced by the absence of crop failure, and the fertility of agricultural land could be restored. Micro watershed management approach, of measurable, with real action together with the affected communities and related parties, can resolve social conflicts that occur due to pollution of community agricultural land.

Unveiling Heavy Metal Pollution in Soils and Rice Crops (Oryza sativa L.) Cultivation

The landscape changes through the increasing built-up areas (settlements and industrial) have a potential impact on reducing the quality of agricultural land. Waste from anthropogenic activities (industrial and domestic) is the main source of heavy metals that can affect rice production in the fields. This study examines the quality changes of paddy fields (Oryza sativa L.) polluted by wastewater in Muara Bakti Village, Bekasi Regency. Wastewater's impact on paddy fields is known through heavy metal contamination analysis in soil and rice plants. Chemical analysis of soil, water and plants was completed by the Balai Penelitian Tanaman Sayuran (Balitsa) Laboratory, West Bandung. The results showed that heavy metal levels such as lead (Pb) and cadmium (Cd) in the paddy soil samples were above the threshold in soil, respectively more than 25 mg/l and 0.01 mg/l. In contrast, the rice plant samples, it was identified as containing heavy metals such as Cd and chromium (Cr). Pb content was not detected in the rice plants. Soil in Muara Bakti Village contained optimal nutrients that are still suitable for agriculture. However, heavy metal content detected in soil samples and rice plants requires special handling to prevent endangering the agroecosystem and human health. Keywords: Agroecosystem, Heavy metals, Paddy fields, Soil pollution, Waste

ECONOMIC ASPECTS OF USING THE POTENTIAL OF BIOENERGY CROPS FOR BIOGAS PRODUCTION AND ADVANCED TECHNOLOGIES FOR DIGESTATE APPLICATION

The research examines the prospects for using the potential of the agro-industrial complex of Ukraine to study green technology innovations during economic development under martial law. Based on the study, it is proved that technological innovations in the agricultural sector contribute to economic development and improve the quality of agricultural land. The article analyses the successful implementation of the case of LLC Yuzhef-Mykolayiv Biogas Company, which has successfully restructured the production of a sugar plant and produces biogas and digestate with further processing into electricity and fertiliser. The modern capacities of the studied enterprise are highlighted, which allow to produce 2800 m3 of biogas and ensure the production of 5200 kWh of electricity, while consumption does not exceed 150 kW, at a load of 80%. The volume of digestate produced per year is 100,000 tonnes. In the regional context, innovative environmental technologies aimed at improving the quality of agricultural land have been introduced. An effective mechanism of spatial synergy with adaptation of this practice at most sugar factories through restructuring of production - creation of biogas production facilities on the basis of sugar factories - is proposed. As a long-term development perspective, the paper presents further creation of alcohol production facilities to use excess heat energy from mini-thermal power plants for the production of alcohol and bioethanol. Furthermore, this study confirms the non-linear effect of economic development; a significant result shows that the impact of green technology innovations on improving the quality of agricultural land (soil humus content, amount of mineral and organic fertilisers, pesticides, area of land under organic production, etc.) contributes to the increase in the level of regional economic development of the agricultural sector. The article clarifies the intermediary role of economic development of the agro-industrial complex. The results of the study implement the tasks of sustainable development, such as improving the environment through the innovation of green technologies and achieving regional synergy in green development.

Association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40-89 in selected areas of China

Objective: To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China. Methods: The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function. Results: The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M (Q1, Q3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95%CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion: Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.

Preface

This significant increase in population has caused food availability in the world. Food is to become increasingly limited and it is not surprising that the world will experience a food crisis. There are many things that cause a food crisis, including increasing population growth, environmental damage, land conversion and a decline in the quality of agricultural land, changes in consumption patterns. The mindset of farmers which is completely practical and not in accordance with market predictions as well as the conversion of agricultural land into residential and industrial areas are several factors for the occurrence of a food crisis in the future. Efforts to fulfill food needs have been made by the government. Starting with the green revolution. It was used as a way to increase food production. Then continued with the blue revolution in order to meet human needs, especially the need for protein originating from fish. Apart from the two efforts above, efforts continue to be made to search for superior seeds, which is one of the efforts to increase agricultural production, using genetic engineering technology. Based on this, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro would like to address issues around resilience of the agricultural sector in the global food crisis. It is our hope that the results from this seminar may form the basis for the decisions that policy makers and other stakeholders need to consider to improve food sovereignty in global world system. This seminar also places to discuss the solutions on achieving resilience of agricultural sector in the global food crisis. Therefore, on behalf Universitas Diponegoro, we believe that this conference will be a good place to share recent discoveries in the respective fields, to build partnership, so that we can move closer to answer the world feeding challenge, together. We would like to congratulate the committee for a job well done preparing this seminar. Special gratitude goes to keynote speakers, all participants, and all other parties supported this event. List of Committee and Participants of the 6th International Seminar on Agribusiness are available in this Pdf.

KEPUTUSAN ADOPSI INOVASI PERTANIAN SAYUR ORGANIK

The decline in the quality of agricultural land due to residues of synthetic chemical inputs is a serious problem being faced in agricultural development in Indonesia. Starting from these problems an important issue of sustainable agricultural development is organic farming. This research has been carried out on CV. GS Organic in 2023, with the aim of a) describing the process of adopting organic farming innovations at CV. GS Organic, b) describes the internal factors and external factors that influence the adoption of organic farming innovations in CV. GS Organic, c) describes the type of organic farming decision making in CV. GS Organic. This type of research is qualitative with a case study approach. Data collection methods are by observation, in-depth interviews and documentation. The data analysis method uses the interactive Miles and Huberman model. The results showed that the factors that determine the adoption of innovation in CV. Organic GS is the initiative of the farmers themselves, as well as the factors that influence farmers' decision making, namely internal factors and external factors. Internal Factors: a) Cosmopolitan Level, b) Motivation. External Factors: a) Reference Group, b) Sources of Information, c) Characteristics of Innovation. Farmers' perceptions of the characteristics of innovation that determine innovation adoption are relative advantages from an economic standpoint, advantages from a social prestige perspective, relative advantages from a convenience standpoint, conformity with espoused values, conformity with prevailing norms, conformity with farmer's needs, trialability (Triability). in a small area, ability is observed from technical advantages, ability is observed from the point of view of economic advantage. The type of decision made on the CV. Organic GS in making decisions, namely optional decisions.

Development of Soil Quality Databases and Land Potential Assessment Using GIS: A Case Study of Lao Cai Province, Vietnam

The utilization of Geographic Information Systems (GIS), particularly the Mapinfo software, is indispensable in the establishment of a land quality and land potential database encompassing each land parcel within Lao Cai province. Through a multifaceted approach involving data collection techniques, field surveys, data analysis, and the creation of both spatial and attribute databases, the GIS application in Lao Cai province has successfully compiled a comprehensive dataset. This dataset encompasses a range of layers, including boundaries, administrative demarcations, land use statuses, survey points, soil types, slope characteristics, soil depth, irrigation patterns, climatic conditions, soil fertility data, and transportation and hydrological information. The amalgamation of this spatial data with attribute data yields a comprehensive repository featuring information on 405 units of agricultural land quality and potential, in addition to 65 aggregated non-agricultural land parcels. This combined dataset functions as the foundational land quality and potential database for Lao Cai province. Assessment outcomes for land quality and land potential throughout the entire province reveal that 51.42% of the land exhibits low quality, 35.06% demonstrates moderate quality, and 13.52% boasts high quality. In terms of land potential, 29.15% is categorized as having low potential, 44.88% as having moderate potential, and 25.97% as having high potential. Furthermore, the precise delineation of land quality and potential for each land parcel within the database effectively caters to the information retrieval needs of land administrators and stakeholders. This research also seeks to contribute to the standardization of land databases at both the provincial and national levels, thereby bolstering land management efforts within the context of globalization, development, and climate change adaptation.

Assessment of salt-affected soil in selected rice irrigation schemes in Tanzania: understanding salt types for optimizing management approaches

Salt-affected soils have serious implications for agricultural land quality and productivity, leading to a reduction in the net cultivable area available for food production. This issue has emerged as one of the foremost global challenges in recent years, impacting both food security and environmental sustainability. This research focuses on soil characterizations conducted in three irrigation schemes to understand the types, distribution, and nature of salt-affected soils. Auger observations served as the basic methodology for soil unit delineation in this study. Twelve representative soil pits with a depth of more than 160 cm were described, and undisturbed and disturbed samples were collected and analyzed for physical and chemical properties. The schemes were characterized by low levels of available phosphorus, organic carbon, and total nitrogen, as well as variations in exchangeable bases. Furthermore, 37.5% of the analyzed horizons highlighted the presence of salt-affected soils. Sodium was the predominant cation, followed by magnesium, potassium, and calcium. Likewise, HCO3− was the dominant anion, followed by Cl− and SO42−. The results of this study reveal the existence of two types of salt-affected soil. Uturo irrigation scheme had sodic soils, while the Ndungu irrigation scheme had saline-sodic soils. Additionally, both sodic and saline-sodic soils have been discovered in the Mawala irrigation scheme. The root cause of this challenge is inherent soil conditions, exacerbated by inadequate drainage infrastructure. Therefore, measures such as the application of gypsum followed by salt leaching, improving soil drainage by incorporating organic matter, improving drainage infrastructure, and using rice-tolerant varieties are recommended to mitigate salt stress and improve soil fertility. It is imperative to establish a robust framework for continuous monitoring and regular assessment of soil health to enable timely interventions and informed decisions for sustainable agricultural management.

The Role of Local Communities in Implementing Soil and Water Conservation Practices for Sustainable Food Production Enhancement in the Salawati District, Sorong Regency

Salawati District is one of the agricultural centers in Sorong Regency, with 82.43% of its population's livelihood in the agricultural sector. Over time, society faces various challenges that threaten the availability of food supplies and agricultural sustainability. The success of soil and water conservation practices in increasing sustainable food production is highly dependent on the participation and contribution of local communities. This research aims to identify soil and water conservation practices that local communities have adopted, assess their level of knowledge about these practices, and evaluate the impact of conservation practices on sustainable food production. This research uses a dominant, less dominant research design by combining two approaches, namely a qualitative approach and a quantitative approach, with a less dominant position. From the research results, it is known that local community knowledge is 72.86%, and 82.86% have implemented soil and water conservation practices in the process of cultivating agricultural crops. The motivation for implementing conservation practices was 70% to increase agricultural yields, 15.71% to achieve environmental sustainability, and 14.29% based on personal motivation. The obstacles faced were 34.29% from lack of resources (financial, equipment); 30% due to weather uncertainty; 22.86% from lack of knowledge about soil and water conservation practices; and 12.86% were time-constrained. The source of information in implementing soil and water conservation practices was obtained by the community: 51.43% information from other farmers; 37.14% from the internet or social media; 8.57% from local agricultural experts; and the least, namely, 2.86% from agricultural training. Farmer groups are the main source of support in implementing soil and water conservation practices. As many as 100% of local communities have a more sustainable view of the future regarding soil and water conservation practices in terms of increasing sustainable local food production. to create a sustainable agricultural system that can improve the quality of agricultural land, which in turn can increase sustainable food production so that food security can be realized.

Physicochemical assessment of industrial effluents of Kala Sanghian drain, Punjab, India.

Thedischarge of industrial effluents has a significant impact on the Water Quality Index (WQI) of the water bodies and is a major source of contamination of groundwater. Thepresent study investigated the physicochemical characteristics and scrutinized the pollution potential of the tannery, textile, and electroplating effluents uploading into the Kala Sanghian drain, located in Jalandhar, Punjab, India. In this study, 12 samples were collected from the four sites (leather complex drain (LD), leather complex outlet (LO), focal point drain (FD), and Bulandpur drain (BD)) of Kala Sanghian drain in the dry season. The result showed that the drain under consideration is very much contaminated and the wateris not suitable for irrigationand agricultural purposes. Rather it has a bad impact on the health of local people, the physiology of aquatic organisms, and the soil quality of agricultural land nearby.The present study confirmed the water quality index was more than 100, indicating a highly contaminated drain and water is unfit for any use. The correlation analysis shows that there exists a positive correlation between TDS and temperature (r = 0.994), DO and pH (r = 0.808), BOD and temperature (r = 0.987), BOD and TDS (r = 0.978), EC and temperature (r = 0.963), EC and TDS (r = 0.954), and EC and BOD (r = 0.956). The principal component analysis (PCA) confirms that PC1 alone has more than 89% of the variance with high positive loading for TDS, temperature, EC, and BOD. The hierarchical cluster analysis (HCA) reflected two clusters where cluster 1 consists of pH, DO, temperature, and BOD of water while cluster 2 consists of TDS and EC of water. The PCA and HCA study of the data set confirms the high degree contribution of anthropogenic activities through the application of chemicals in agriculture, disposal of municipal waste, and industrial effluents in the deterioration of water quality. The results of the study will help to enhance the sustainable action plan for the management of industrial effluents in the studied area.

NeuralFlood: An AI-Driven Flood Susceptibility Index

Flood events have the potential to impact every aspect of life, economic loss and casualties can quickly be coupled with damages to agricultural land, infrastructure, and water quality. Creating flood susceptibility maps is an effective manner that equips communities with valuable information to help them prepare for and cope with the impacts of potential floods. Flood indexing and forecasting are nonetheless complex because multiple external parameters influence flooding. Accordingly, this study explores the potential of utilizing artificial intelligence (AI) techniques, including clustering and neural networks, to develop a flooding susceptibility index (namely, NeuralFlood) that considers multiple factors that are not generally considered otherwise. By comparing four different sub-indices, we aim to create a comprehensive index that captures unique characteristics not found in existing methods. The use of clustering algorithms, model tuning, and multiple neural layers produced insightful outcomes for county-level data. Overall, the four sub-indices’ models yielded accurate results for lower classes (accuracy of 0.87), but higher classes had reduced true positive rates (overall average accuracy of 0.68 for all classes). Our findings aid decision-makers in effectively allocating resources and identifying high-risk areas for mitigation.

Targeted financing of land reclamation works at agricultural enterprises: Accounting and reporting

Subject. This article discusses the issues of ensuring food security in Russia through improving the quality of agricultural land, which can be achieved through the implementation of reclamation measures on agricultural lands, the financing of which is performed through the provision of State aid. Objectives. The article aims to study the methodology of accounting for State aid to land reclamation works in agriculture, identify problems, and propose ways to solve them. Methods. For the study, I used a dialectical approach, observation, analysis and synthesis, comparison, as well as elements of the accounting method. Results. An analysis of the accounting of budget financing for land reclamation works reveals that different regulatory documents contain different methods. On the basis of this analysis, the article proposes a set of accounting records for State aid, as well as analytical accounts for accounting for budget financing for reclamation work performed for agricultural enterprises. Conclusions and Relevance. The proposed system of analytical accounting and accounting records for accounting of State aid for land reclamation works in agriculture will improve the efficiency of control over the targeted use of allocated budget funds. The results of the study can be applied in the system of accounting and internal control of agricultural organizations.

Green Coal Machine: Innovative Solution for Processing Organic Soil Enhancer from Compost and Coal Testing Waste

The Eco Green Campus Program adopted by Sepuluh Nopember Institute of Technology (ITS) aims to create a campus that is sustainable and environmentally friendly with a focus on cultivating healthy organic soil. However, tillage Organic soil require organic materials which are quite expensive and difficult to obtain, such as organic fertilizer. Therefore, innovative solutions are needed through utilization of abundant local resources such as remaining coal samples with compost that called Green Coal which was made into quality organic soil enhancer. Coal has very complete nutrients and can be used as fertilizer. In addition, the use of coal as fertilizer can reduce the potential for degradation of the quality of agricultural land. In order to meet the needs in ITS parks, coal from the rest of the laboratory testing samples can also be used as a source of soil fertilizer. However, the results of the production is still lacking by number so sometimes the compost is applied though its still half ripe. To increase its effectiveness, organic compost waste is used as a soil conditioner through the use of coal. ITS has succeeded in developing a soil enhancer product named Green Coal from residual coal sample. However, the process of making Green Coal is done manually and is constrained by time constraints. Therefore, in this research, a 3-in-1 Green Coal machine was carried out to increase the efficiency of Green Coal production. The 3-in-1 Green Coal machine consists of a chopping machine, a sieving machine and a mixing machine in one machine so it can simplify processes, cost and time efficiency in the production process. The results of this research showed that a 3-in-1 Green Coal machine can produce 10 kg/minute of Green Coal soil enhancer products.

Greening and agroecological assessment of the agricultural sector of the Karabakh region

State of the problem. During the occupation by Armenia of the Karabakh economic district of the Republic of Azerbaijan, the military degradation of agricultural lands and their use in agriculture and animal husbandry without observing agroecological rules led to the deterioration of soil fertility and the reduction of the optimality of agrarian landscapes. Object learning. The article presents modern ideas for re-doing the agroecological assessment of the lands and solving the actual agroecological problems of their use in agriculture for greening the development of the agricultural area in the Karabakh economic region. In the economic region, the main approach is given to methodological issues of agro-ecological assessment of soil quality, greening of efficient use of agricultural land, agro-ecological analysis of anthropogenic dynamics of soils, regional integration of assessment of agro-ecological quality of soils. In the design of agroecosystems in the Karabakh economic region, the agroecological approach of the differentiation of the area according to the soil-climate factors, the evaluation of the soil taking into account the geomorphological and climatic factors is given. At the same time, the importance of cadastral assessment and accounting of the modern ecological condition of the region's land resources, as well as the issues of their effective use and protection are explained. In the article, in order to ensure the development of the agrarian sector in the region, the importance of the complex agro-ecological re-evaluation of land resources, ways to eliminate the main indicators of land degradation and ecological requirements for the cultivation of plants, determination of territorial units characterized by variability of natural and climatic conditions, agro-production grouping of elementary areas of agro-landscapes and according to the agro-ecological assessment of the area, the ways of organizing the efficient use of land were investigated. Methodology. Generalization, historical, statistical, systematic analysis, and comparison methods were used to prepare the article. Research results. Environmental and economic stability may become more challenging in the future due to increasing anthropogenic pressure on agroecosystems in the economic region and poor infrastructure. Due to intensive land use, frequent erosion, river floods, and environmental pollution in the region can lead to a decline in the quality of agricultural land. Also, anthropogenic activities in the region can have a negative impact on the state and development of agroecosystems and the sustainable development of agriculture in the region, to optimize which it is considered necessary to improve and update the methods and technologies used in agriculture. The scientific novelty of the research. It is necessary to apply agroecological concepts and principles in the redesign, development, and management of sustainable agricultural systems in the economic region. The development of agroecosystems in the region should be ensured by alternative agricultural methodologies and approaches that combine the socio-economic and historical context of agriculture. The production of organic agricultural products, which do not harm human health and the natural environment, should be carried out, and the ecological condition of the soil should also be monitored regularly.

Can geography explain Quebec's historical poverty?

AbstractFrom the 19th century to the 1940s, Quebec remained poorer and less economically developed than the rest of Canada in general, and than Ontario in particular. This placed Quebec at the bottom of North American rankings of living standards. One prominent hypothesis for the initiation of this gap is tied to disparities in agricultural land quality. We formally test this hypothesis using newly available data for the mid‐19th century and find it holds little explanatory power. We further argue that poor institutions in Quebec, notably seigneurial tenure, were at the root of the development gap and that the effect of land quality on living standards was institutionally contingent.

Impact of renewable energy and agriculture on mineral resources rents: Do economic and environmental aspects matter

The global shift towards renewable energy and sustainable agricultural practices has gained significant momentum in recent years. This transition has not only been driven by the need to reduce greenhouse gas emissions and combat climate change but also by the potential economic benefits and the conservation of mineral resources. The impact of renewable energy and agriculture on mineral resource rents is a significant issue today. With the increasing concern of global warming, reducing emissions and increasing renewable energy sources is more pressing than ever. As a result, there is growing interest in using renewable energy sources and agricultural practices to replace the traditional use of mineral resources. This paper examines the impact of renewable energy and agriculture productivity on mineral resource rents in China from 1971 to 2019, using economic growth and total greenhouse gas emissions as moderating variables. The result explains that mineral depletion, agriculture value-added, and economic growth are positively associated with natural resources, while fossil fuel energy consumption and CO2 emissions are negatively associated with natural resources. The policy implications of mineral depletion in China are concerning. In order to address the issue, China needs to develop a comprehensive plan that addresses the depletion of mineral resources and its effects on the environment and economy. In particular, developing strategies to reduce the reliance on coal power and to encourage more sustainable energy sources should be a priority. Policies to protect and restore agricultural land and water quality should also be implemented.

NeuralFlood: an AI-driven flood susceptibility index

Flood events have the potential to impact every aspect of life, economic loss and casualties can quickly be coupled with damages to agricultural land, infrastructure, and water quality. Creating flood susceptibility maps is an effective manner that equips communities with valuable information to help them prepare for and cope with the impacts of potential floods. Flood indexing and forecasting are nonetheless complex because multiple external parameters influence flooding. Accordingly, this study explores the potential of utilizing artificial intelligence (AI) techniques, including clustering and neural networks, to develop a flooding susceptibility index (namely, NeuralFlood) that considers multiple factors that are not generally considered otherwise. By comparing four different sub-indices, we aim to create a comprehensive index that captures unique characteristics not found in existing methods. The use of clustering algorithms, model tuning, and multiple neural layers produced insightful outcomes for county-level data. Overall, the four sub-indices' models yielded accurate results for lower classes (accuracy of 0.87), but higher classes had reduced true positive rates (overall average accuracy of 0.68 for all classes). Our findings aid decision-makers in effectively allocating resources and identifying high-risk areas for mitigation.

Integration of multimodal data for large-scale rapid agricultural land evaluation using machine learning and deep learning approaches

Rapid and accurate agricultural land evaluation provides essential guidance for the supervision and allocation of agricultural land resources; it also helps to ensure food security. Previous work has mainly evaluated the land quality at the county level by using field sampling data and based on a factor approach. However, it is difficult to achieve uniform, large-scale agricultural land evaluation via conventional approaches because of its spatial heterogeneity, as well as the large temporal and economic costs associated with data acquisition. In this study, we integrated publicly available multimodal data (i.e., satellite remote sensing, environmental, and socioeconomic data) into the Google Earth Engine (GEE) platform, selected the best indicators from each modality using the geodetector, on the basis of which different combinations of input models were designed. And then we developed machine learning (random forest, RF) and deep learning (deep neural network, DNN) models to evaluate the land quality in paddy field and dry land systems in 2013 throughout Guangdong Province, China. The results showed that the performance of our combination of variables decreased in the following order: multimodal > bimodal > unimodal. With the best input combination, the RF model (R2 = 0.91, RMSE = 97.56, and CCC = 0.95) outperformed the DNN model (R2 = 0.89, RMSE = 108.72, and CCC = 0.94) in terms of predicting the quality of paddy field. The RF model (R2 = 0.90, RMSE = 104.27, and CCC = 0.95) also outperformed the DNN model (R2 = 0.86, RMSE = 124.38, and CCC = 0.93) in terms of predicting the quality of dry land. The agricultural land quality estimates obtained using the RF and DNN models were more accurate for paddy field than for dry land systems because of greater land quality homogeneity in paddy fields. This research proposed a simple, low-cost for rapid and accurate agricultural land evaluation at the provincial scale using publicly available multimodal data, which can help to achieve control of the agricultural land grade at multiple spatial and temporal scales.

Ways to improve land assessment methods in Azerbaijan

Motives: The article examines various approaches to improving the assessment of agricultural land in Azerbaijan. The quality, potential productivity, and normative price (value in monetary terms) of farmland need to be determined to increase production and competitiveness of agricultural products, to establish favourable land relations that meet modern requirements, and to promote efficient land use. The existing methods of assessing the quality and economic value of farmland for the needs of the land cadastre and determining the normative prices of land do not fully correspond to reality. Different and often contradictory approaches to land assessment have been proposed.Aim: The aim of this study was to optimize the methods of assessing the quality and economic value of agricultural land, determining the normative prices of land, and evaluating potential land productivity in view of modern requirements.Results: Improvements in land valuation will promote reliable assessments of agricultural development and the establishment of efficient farming systems; they will improve agricultural land-use efficiency and reliable determination of normative prices in market transactions involving agricultural property. These methods can be widely used to plan agricultural production, evaluate the operations of various types of farms, improve remuneration policies in the farming sector, determine the optimal scope of farming operations in view of natural conditions and economic factors, and resolve other issues to promote the development of agricultural production.