Agricultural Resources Research Articles

Domestication of wild indigenous fruit trees in Rwanda: Perspectives from rural communities

Wild indigenous fruit trees (WIFTs) play a vital role in food and nutritional security in sub-Saharan Africa. However, these resources are currently less accessible to rural populations due to the expanding arable lands and over-exploitation of the trees in the wild, which lead to a decline in their population. This study (i) explored the availability and uses of WIFTs in the Nyamagabe and Bugesera districts of Rwanda (ii) identified challenges and potential interventions for domestication of WIFTs, (iii) assessed community perceptions on WIFTs domestication primarily as integrated system components in smallholder's farm (iv) and also determined the priority species for domestication. A total of 380 respondents from Bugesera and Nyamagabe districts were interviewed using a semi-structured questionnaire. Data were analyzed descriptively using the SPSS software analysis tools. Results revelaled a total of 19 WIFTs, 15 from the Bugesera district, and five from the Nyamagabe district with one species occurring in both districts. The recorded WIFTs were used mainly as food, medicine and fuel wood. Despite a decline in population locally, most respondents were interested in domesticating WIFTs and expressed willingness to integrate them on their farmlands once the planting materials are availed. From the study a suggestion to promote the domestication of the priority WIFTs through a collaborative initiative between the Ministry of Agriculture and Animal Resources, research institutions and other stakeholders is important. This will ensure not only the sustainability of the WIFTs species to communities but also contribute to their socio-economic development once the products are developed through proper value chains addition.

Variation in Soil Hydrothermal after 29-Year Straw Return in Northeast China during the Freeze–Thaw Process

In seasonal agricultural frozen soil areas, the straw return may influence the freeze–thaw characteristics by changing the soil organic matter and porosity. Monitoring moisture and heat in the freeze–thaw period is significant for preventing spring waterlogging and reasonable planting arrangements. However, the effect of long-term straw return on the soil freeze–thaw process is still unclear. In this study, we investigated the dynamics of soil temperature (ST) and soil moisture (SM) between straw-return cropland (SF) for 29 consecutive years and no-fertilization cropland (NF) during freeze–thaw progress in northeast China. The soil in both sites underwent unidirectional freezing and bidirectional thawing processes. The soil freezing and thawing dates in the NF of the profile occurred earlier than that in the SF. The NF had higher frozen depth and freezing rate than the SF and exhibited a larger range of ST variation and higher heat transmission efficiency. The SM showed a declining trend before the ST started to decrease to a freezing point at different depths in both sites. The migrated SM in most soil layers decreased during monitoring. The relationship between SM and negative ST was a power function at different frozen depths. The SM decreased rapidly in the range of −2–0 °C in both sites. During phase changes, the SF and NF consumed 33.0 and 43.6 MJ m−2, respectively. The results can partially explain the response of straw return to soil hydrothermal variation during the freeze-thaw process. This study may provide an integral theory for effectively utilizing agricultural soil hydrothermal resource in northeast China.

Adoption of organic soil fertility measures and their impact on farm outcomes: a case study of millet cultivators in India

This article investigated the economic impact of adopting organic soil fertility measures (OSFM) on millet farming outcomes in rainfed regions of rural India. Using survey data from 900 millet farmers, the analysis applied an endogenous switching regression model to correct for selection bias arising from both observable and unobservable factors. The results indicated that factors such as soil type, use of farmyard manure, crop diversification, gender of the household head, access to agricultural resources, proximity to residence and markets and education levels significantly influenced farmers’ adoption of OSFM. Notably, the adoption of OSFM had a positive and statistically significant impact on farm profits, with OSFM adopters gaining ₹5998 more than nonadopters. The average treatment effect on the treated for OSFM was 9.80% higher than for non-OSFM farmers. These findings reinforcing the importance of promoting OSFM practices in similar rainfed farming regions of the country.

Health impact evaluation of Aspirational Districts Program in India: Evidence from National Family Health Survey

The Aspirational District Program (ADP) is a unique initiative of Government of India launched in 2018 that aims to reduce inter-district multidimensional inequality. ADP aims to bring the least developed districts to catch up with the rest of the other districts in the country. The program is comprehensive in its scope as it targets improvement of several key development indicators spanning health and nutrition, education, agriculture and water resources, financial inclusion and skill development and basic infrastructure indicators. Aspirational districts (ADs) are eligible for enhanced funding and priority allocation of various initiatives undertaken by the central and the state governments. Our research estimates the causal impact of ADP on the targeted health and nutrition indicators using a combination of propensity score matching and difference-in-differences (PSM-DID). We use the fourth and fifth rounds of National Family Health Survey (NFHS) data collected in 2015–16 and 2019–21 respectively which serve as the pre and post-treatment data for our analysis. Moreover, we take advantage of the transparent mechanism outlined for the identification of ADs under ADP, which we use for propensity score matching for our PSM-DID. While we observe negative impact of ADP on early initiation of breastfeeding, we believe that the impact is confounded with the effects of Covid-19 since part of NFHS-5 data was collected during the pandemic. However, the negative impact of ADP on early initiation of breastfeeding disappears when we only use pre-covid data (i.e. data for districts from states surveyed before the pandemic). Additionally, using pre-covid data we find a reduction in the prevalence of underweight children younger than 5 years to an extent of 2 to 4 percentage points in ADs as an impact of ADP, which is robust across multiple specification. We do not find evidence of a positive or a negative impact of ADP on any other health and nutrition indicators. Future research efforts should be made towards impact evaluation of all the targeted indicators in order to get a comprehensive unbiased evaluation of ADP.

Optimization of Extraction and Purification of Flavonoids from Stigmaless Floral Residues of Crocus sativus L. and Their Stimulatory Effect on Glucose Uptake In Vitro.

Saffron, the dried stigma of Crocus sativus L., is a renowned spice and medicinal herb. During its production, a significant amount of floral residues, rich in bioactive compounds, are discarded as agricultural by-products. This study presents a novel approach to the sustainable utilization of these stigmaless floral residues (FRC) by optimizing the extraction and purification of their flavonoids, analyzing their chemical composition, and evaluating their effect on glucose uptake. The extraction of flavonoids from FRC was optimized using single-factor experiments and response surface methodology. The optimal conditions for extraction were an ethanol concentration of 67.7%, a temperature of 67.6 °C, a solid-to-liquid ratio of 1:30, an extraction time of 3 h, and two extractions. The crude extract obtained was then purified using macroporous resin HPD100, selected after comparing the adsorption and desorption characteristics of six different resins. The optimal purification parameters were an adsorption concentration of 40 mg/mL, a loading volume of 7 bed volumes (BV) at a flow rate of 3 BV/h, and 80% ethanol as the eluent with a volume of 4 BV. The resulting flavonoid-enriched extract (FFRC) had an experimental yield of 8.67% ± 0.01 and a flavonoid content of 128.30 ± 4.64 mg/g. The main flavonoids in FFRC were identified as kaempferol glycosides, isorhamnetin glycosides, and quercetin glycosides. Moreover, FFRC significantly stimulated glucose consumption and uptake in C2C12 myotubes, suggesting its potential utility as a natural hypoglycemic agent. This study contributes to the sustainable and value-added utilization of agricultural resources by providing data for the exploitation and application of flavonoids from saffron by-products.

The Study of Mutual Benefits and Potential in China-Mongolia Agricultural Trade

This article aims to explore the mutual benefits and potential of agricultural trade between China and Mongolia, analyzing the current situation of agricultural resources, trade history, and policy environment of the two countries. The study finds that China-Mongolia agricultural trade shows significant economic complementarity. Trade activities not only promote economic growth in both countries but also deepen social and cultural exchanges. However, technical standards, political risks, and logistics costs remain major challenges facing trade cooperation. By strengthening policy coordination, investing in agricultural technology and infrastructure, and expanding the variety and markets of trade, the potential for cooperation in China-Mongolia agricultural trade can be further enhanced. These measures will help improve the efficiency and benefits of bilateral trade, achieving a win-win development.

Endophytic actinomycetes promote growth and fruits quality of tomato (Solanum lycopersicum): an approach for sustainable tomato production.

Tomato, a fruit with a high vitamin content, is popular for consumption and economically important in Thailand. However, in the past year, the extensive usage of chemicals has significantly decreased tomato yields. Plant Growth-Promoting Rhizobacteria (PGPR) is an alternative that can help improve tomato production system growth and yield quality while using fewer chemicals. The present study aimed to determine whether endophytic actinomycetes promote growth and fruit quality of tomato (Solanum lycopersicum). The experiment was conducted in a net-houses at the Center for Agricultural Resource System Research, Faculty of Agriculture, Chiang Mai University, Chiang Mai province, Thailand. The randomized completely block design (RCBD) was carried out for four treatments with three replications, which was control, inoculation with TGsR-03-04, TGsL-02-05 and TGsR-03-04 with TGsL-02-05 in tomato plant. Isolated Actinomycetes spp. of each treatment was then inoculated into the root zone of tomato seedlings and analyzed by Scanning Electron Microscopy (SEM). The height of tomato plants was measured at 14, 28, 56, and 112 days after transplanting. Final yield and yield quality of tomato was assessed at the maturity phase. The SEM result illustrated that the roots of tomato seedlings from all treatments were colonized by endophytic actinomycetes species. This contributed to a significant increase in plant height at 14 days after transplanting (DAT), as found in the TGsR-03-04 treatment (19.40 cm) compared to the control. Besides, all inoculated treatments enhanced tomato yield and yield quality. The highest weight per fruit (47.38 g), fruit length (52.37 mm), vitamin C content (23.30 mg 100g-1), and lycopene content (145.92µg g-1) were obtained by inoculation with TGsR-03-04. Moreover, the highest yield (1.47 kg plant-1) was obtained by inoculation with TGsL-02-05. There was no statistically significant difference in the number of fruits per plant, fruit width, brix, and antioxidant activity when various inoculations of endophytic actinomycetes were applied. Therefore, the use of endophytic actinomycetes in tomato cultivation may be an alternative to increase tomato yield and yield quality.

Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management

This paper explores the potential of smart crop management based on the incorporation of tools like digital agriculture, which considers current technological tools applied in agriculture, such as the Internet of Things (IoT), remote sensing, and artificial intelligence (AI), to improve crop production efficiency and sustainability. This is essential in the context of varying climatic conditions that affect the availability of resources for agriculture. The integration of tools such as IoT and sensor networks can allow farmers to obtain real-time data on their crops, assessing key health factors, such as soil conditions, plant water status, presence of pests, and environmental factors, among others, which can finally result in data-based decision-making to optimize irrigation, fertilization, and pest control. Also, this can be enhanced by incorporating tools such as drones and unmanned aerial vehicles (UAVs), which can increase monitoring capabilities through comprehensive field surveys and high-precision crop growth tracking. On the other hand, big data analytics and AI are crucial in analyzing extensive datasets to uncover patterns and trends and provide valuable insights for improving agricultural practices. This paper highlights the key technological advancements and applications in smart crop management, addressing challenges and barriers to the global adoption of these current and new types of technologies and emphasizing the need for ongoing research and collaboration to achieve sustainable and efficient crop production.

A Critical Review of the Status of Current Greenhouse Technology in China and Development Prospects

China’s greenhouse industry has undergone thousands of years of development history, although the development of modern greenhouses arrived late. After decades of development in China, its greenhouse industry is at the global forefront. China’s greenhouse industry is experiencing rapid development, transformation, and upgrading. China ranks first in the world in terms of the greenhouse industry. These greenhouses are mainly used for vegetable cultivation, playing an important role in the utilization of agricultural resources and food production. In 2023, the cumulative area of greenhouses nationwide was 1835.87 million ha. In this paper, we present the latest developments in the greenhouse sector. More specifically, we present an overview of the development of the greenhouse market, greenhouse production, the greenhouse industry, and technology development. Current problems are underpinned, development opportunities and prospects are analyzed, and measures and specific proposals are detailed for the technological development of the greenhouse sector, both for increasing product quantity and quality.

Simulating Climatic Patterns and Their Impacts on the Food Security Stability System in Jammu, Kashmir and Adjoining Regions, India

This study investigated the historical climate data and future projections under the SSP5-8.5 scenario for Jammu, Kashmir (J&K), and its adjoining regions in India. Agriculture is a critical economic pillar of this region, making it highly vulnerable to climate change. This study focused on temperature and precipitation trends. Statistical analysis and modeling methods, including cloud computing, were employed to predict changes and assess their impact on agricultural productivity and water resources. The results indicated that by 2100, the mean maximum and minimum temperatures are projected to increase by approximately 2.90 °C and 2.86 °C, respectively. Precipitation variability is expected to rise, with a mean increase of 2.64 × 10−6 mm per day. These changes have significant consequences for crop yield, water stress, and ecosystem dynamics. An analysis of Gross Primary Productivity (GPP) as a proxy for agricultural productivity using linear regression revealed a concerning trend. Although the total GPP of the study area remained stable over time, it declined by −570 g yr−1 in 2010, coinciding with a 1 °C temperature rise. Projections based on the expected 3 °C temperature increase by 2100 suggest a total GPP loss of −2500 g yr−1. These findings highlight the urgent need for proactive adaptation measures, including sustainable agricultural practices, improved water management, and enhanced socioeconomic infrastructure, to mitigate the impact of climate change and ensure long-term resilience and food security in the region.

Smart Solutions for Sustainable Agriculture: Design and Development of IoT-Powered Soil Health Identification Systems

This research examines smart solutions for agricultural sustainability using IoT-powered soil health detection systems. Innovative solutions are needed to manage resources and protect the environment as the world population grows and agricultural resources are under strain. IoT-enabled soil health monitoring has great potential. The suggested system uses IoT sensors to measure soil moisture, pH, nutrient content, and temperature in real time. This data is analyzed using powerful data analytics and machine learning algorithms to provide farmers soil health information. Monitoring soil quality allows farmers to make educated irrigation, fertilization, and crop selection choices, optimizing resource use and yields while minimizing environmental effect. The study also examines sensor selection, data transmission methods, and data security for IoT-powered soil health detection systems. Widespread use of these technologies might boost agricultural output, lower input costs, and enhance food security. Finally, IoT-powered soil health detection systems are a major step toward agricultural sustainability. These devices enable precision farming that is ecologically friendly and profitable by giving real-time soil data. However, effective implementation would need agricultural value chain stakeholders to collaborate and continued research to address growing issues and possibilities.

How Does Agricultural Green Transformation Improve Residents’ Health? Empirical Evidence from China

Promoting green and sustainable agriculture is of great significance for ensuring food security and addressing global challenges. Meanwhile, health has increasingly become a global concern. Nutrition and health are the purpose of agricultural production. As two major global issues, how agriculture empowers human health has long been discussed. Based on the provincial panel data of China from 2003 to 2021, this paper studies the impact of agricultural green transformation (AGT) on residents’ health and explores its impact mechanism. The empirical results show that: (1) AGT in China has significantly reduced the average mortality rate and maternal mortality rate and significantly increased the average life expectancy, indicating that AGT in China has significantly improved the health level. The conclusions of robustness testing methods such as replacing AGT indicators and controlling endogeneity are still valid; and (2) The impact of AGT on residents’ health depends on the regional economic level, and there is a threshold effect. Compared with low-income areas, the positive effects of AGT in high-income areas on residents’ health are more pronounced; and (3) Agricultural carbon emissions play an intermediary effect between AGT and residents’ health, and AGT can improve residents’ health by reducing carbon emissions. The level of local education development plays a moderating role in the relationship between AGT and residents’ health. Agricultural policy implications include enhancing the ability to protect and utilize agricultural resources, promoting the green and low-carbon transformation of agriculture, and taking a more scientific and systematic approach towards the complex diversity of health risk factors.

Nitrogen reduction by 20 % with green manure retention reduces soil evaporation, promotes maize transpiration and improves water productivity in arid areas

ContextThe contradiction between high agricultural yields and water resource shortages is becoming increasingly serious. Reducing nitrogen appropriately with green manure retention can ensure high agricultural yields, but it remains unclear whether it can optimize crop water consumption characteristics and improve water productivity (WPc). ObjectiveThis study aims to investigate the effect of green manure retention combined with nitrogen reduction on water use characteristics of maize and its potential mechanisms. MethodsA field experiment was conducted at Wuwei Oasis Agricultural Experimental Station in China from 2020 to 2022, with five treatments: (i) traditional nitrogen application with green manure retention (N100), (ii) nitrogen reduction by 10 % with green manure retention (N90), (iii) nitrogen reduction by 20 % with green manure retention (N80), (iv) nitrogen reduction by 30 % with green manure retention (N70), and (v) nitrogen reduction by 40 % with green manure retention (N60). ResultsThe results showed that compared with the N100 treatment, 0−50 cm maize root biomass (RB), biomass accumulation (BA), and canopy cover (CC) were not significantly reduced in the N80 treatment. This model ensured a stable grain yield (GY) and improved 0−50 cm soil water storage (SWS) by 7.1−13.1 %. It effectively suppressed soil evaporation (E), promoted maize transpiration (T), reduced maize evapotranspiration (ET) by 4.8 %, and increased WPc by 1.8−26.6 %. Structural equation modeling (SEM) suggests that RB was the most important factor for improving WPc. In addition, this system ensures that economic benefits did not decrease. ConclusionIt can be seen that nitrogen reduction by 20 % with green manure retention is a reasonable nitrogen fertilizer management system to alleviate the contradiction between high maize yield and water resource shortages in the region. ImplicationsThe results of this study provide valuable insights into alleviating the contradiction between agricultural production and regional water resource scarcity.

Analysis of the efficiency of the use of labor resources in agriculture of the Republic of Kazakhstan

In the article, the authors consider the current state of the labor market in the rural sector, namely, the efficiency of the use of labor resources in agriculture through quantitative and qualitative indicators. The analysis of these indicators allows to get information about the main problems and difficulties faced by employers in the process of using labor resources. Based on the analysis, the authors note that one of the main problems of agricultural enterprises affecting the competitive capabilities of the industry is the qualification of labor resources. At the level of senior management, the provision of high-quality personnel is relative. But there are not enough middle-level specialists and working professions. The authors also note that young professionals have no interest in staying in agriculture, so there is a high turnover of personnel. The authors conclude that the rapid development of technologies of the fourth industrial revolution, including digitalization, automation, and generational change of specialists and workers in the industry are the driving forces that change the requirements for the professionalism of employees of the agricultural industry. Therefore, in order to be competitive in the labor market, it is necessary to master new competencies and skills that can make their work indispensable. To win competition with machines, it is necessary to develop the ability to communicate with different people and the ability to work in a team, to train the willingness to solve problems and the desire to think outside the box. These competencies are universal for all professional fields of activity.

Artificial Intelligence in Agricultural Mapping: A Review

Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and time and increases efficiency in agricultural management activities, which improves the food industry. Agricultural mapping is necessary for resource management and requires technologies for farming challenges. The mapping in agricultural AI applications gives efficiency in mapping and its subsequent use in decision-making. This study analyses AI’s current state in agricultural mapping through bibliometric indicators and a literature review to identify methods, agricultural resources, geomatic tools, mapping types, and their applications in agricultural management. The methodology begins with a bibliographic search in Scopus and the Web of Science (WoS). Subsequently, a bibliographic data analysis and literature review establish the scientific contribution, collaboration, AI methods, and trends. The United States (USA), Spain, and Italy are countries that produce and collaborate more in this area of knowledge. Of the studies, 76% use machine learning (ML) and 24% use deep learning (DL) for agricultural mapping applications. Prevailing algorithms such as Random Forest (RF), Artificial Neural Networks (ANNs), and Support Vector Machines (SVMs) correlate mapping activities in agricultural management. In addition, AI contributes to agricultural mapping in activities associated with production, disease detection, crop classification, rural planning, forest dynamics, and irrigation system improvements.

Blackfeet innovation pathways to food sovereignty: sustainability through indigenous-led research partnerships

The Blackfeet Nation in northwestern Montana, United States, is implementing its Agriculture Resource Management Plan (ARMP), an Indigenous-led, sustainable agriculture plan prioritizing economic development for Indigenous producers, intergenerational health and well-being of Amskapi Piikani Blackfeet people, and ecological and cultural sensitivities within this sovereign nation and its traditional territories. Since the passage of the American Indian Agricultural Resource Management Act of 1993, only three Tribes have drafted and finalized Agricultural Resource Management Plans (ARMPs). The Blackfeet ARMP is now being held up as a national model of Tribal sovereignty. “Blackfeet Innovation Pathways to Food Sovereignty,” an Indigenous-led research project, emerged from the Blackfeet Nation’s community-based strategic planning process identifying gaps, systemic barriers and impactful solutions for achieving Blackfeet food sovereignty through the implementation of the Blackfeet Nation ARMP, along with research influenced by the ARMP. This paper provides a community case study of the ongoing process and offers a translational model of sustainable agriculture and food sovereignty within Indigenous lands to improve the economic futures of producers and their families, as well as health outcomes for Native communities.

Potassium, Zinc, and Boron Nutrients Effect on Sorghum (Sorghum bicolor L. Moench) Yield in Wag-Lasta, Northern, Ethiopia

In Ethiopia using inorganic fertilizer started in the early 1970s. But it still depended solely on urea and DAP. Today, according to ATA and Ministry of Agriculture and Natural Resources K, Zn, B, S, and Cu are in deficit in Ethiopia and Amhara Region as well as in Wag-Lasta areas. But some studies conducted in Wag-Lasta and throughout the region in different crops indicate that these nutrients had no response on crop yields. So, this experiment was conducted in 2017 rain feed cropping season on five farmers’ parcels per location to verify the response of sorghum to potassium, zinc, and boron nutrients. The treatments were: NPS, NPSK, NPSZnB, and NPSZnBK, with the recommended rate of 46 and 23 kg ha-1 N and P2O5,respectivelyfor Sekota,23 kg ha-1N, andP2O5 for Lasta. Moreover, 150, 1.47, and 0.07 kg ha-1 KCl, Zn, and B, respectively used uniformly in both locations. The experiment was laid out in randomized complete block design (RCBD) with three replications. The collected data were analyzed by SAS software version 9.0. Analysis of variance revealed that the application of potassium, zinc, and boron had no significant effect (P ≤0.05) on sorghum yield and yield components at all sites. The exchangeable potassium content in the soil of the study sites is above the critical value level. The result disagrees with the soil fertility map which showed more than 98% of potassium deficiency and more than 80% NPSZnB deficiency. Hence, the application of K, Zn, and B nutrients had no yield advantage over the recommended N and P nutrients in the Wag-Lasta areas. Therefore, currently to increase production and productivity of crops in Wag-Lasta areas using of recommended rate of nitrogen and phosphorous with organic fertilizer sources for each district is the best option rather than using K, Zn, and B nutrients.

<p>Legal Protection of Surface Waters in Spain</p>

A systematic study of water regulations in Spain within the legislative framework of the EU and the use and management of this resource in agriculture is carried out. In this context, the aim is to analyse whether the most recent regulations increase the confidence of consumers and farmers in this circular approach to water use, guaranteeing water security and reducing pressures on increasingly scarce water resources, under EU and national policies that promote the safe use of reclaimed water in agriculture and guarantee the protection of human and animal health and the environment, as well as being a tool that contributes to protecting biodiversity.

Relationship between Synoptic Weather Patterns and Topography on Snowfall in the Idaho Mountainous Regions during the SNOWIE Project

Abstract Snowpack melting is a crucial water resource for local ecosystems, agriculture, and hydropower in the Intermountain West of the United States. Glaciogenic seeding, a method widely used in mountain regions to enhance precipitation, has been subject to numerous field studies aiming to understand and validate this mechanism. However, investigating precipitation distribution and amounts in mountainous areas is complicated due to the intricate interplay of synoptic circulation patterns and local complex topography. These interactions significantly influence microphysical processes, ultimately affecting the amount and distribution of surface precipitation. To address these challenges, this study leverages Weather Research and Forecasting (WRF) Model simulations, providing high-resolution (900 m), hourly data, spanning the Payette region of Idaho from January to March 2017. We applied the self-organizing map approach to categorize the most representative synoptic circulation patterns and conducted a multiscale analysis to explore their associated environmental conditions and microphysical processes, aiming to assess the cloud seeding potential. The analysis identified four primary synoptic patterns: cold zonal flow (CZF), cold southwesterly flow (CSWF), warm zonal flow (WZF), and warm southwesterly flow (WSWF), constituting 21.3%, 23.1%, 30.0%, and 25.5%, respectively. CSWF and WSWF demonstrated efficiency in generating natural precipitation. These patterns were characterized by abundant supercooled liquid water (SLW) and ice particles, facilitating cloud droplet growth through seeder–feeder processes. On the other hand, CZF exhibited the least SLW and limited potential for cloud seeding, while WZF displayed a lower ice water content but substantial SLW in the diffusion/dendritic growth layer, suggesting a favorable scenario for cloud seeding. Significance Statement Understanding snowfall amounts and distribution in the mountains and how it is linked to topography, synoptic flow, and microphysical processes will help in the development of effective strategies for cloud seeding operations, managing runoff, reservoir, and mitigating flood risks, garnering substantial interest from stakeholders and the government agencies.

An IOT-based experimental analysis for conserving resources in smart farming

An IOT-based experimental analysis for conserving resources in smart farming