Agricultural Structure Adjustment Research Articles

Spatiotemporal Analysis of Food Production-Demand Mismatch in China and Implications for Agricultural Structural Adjustment.

Based on the food equivalent unit (FEU), this article analyzed Chinese food consumption patterns, spatial mismatch, and production potential to explore agricultural reform strategies. Assessing production-demand mismatch involved the spatial mismatch model, drawing data from statistical yearbooks. Calculations of food production potential utilized the CASA model and the Thornthwaite Memorial model, with net primary productivity (NPP) derived from remote sensing data as indicators. The results showed that livestock product consumption is on the rise, and the spatial mismatch index for herbivorous livestock products was the largest, ranging from 22.81 to 98.12 in 2019. The mismatched degree distribution of rations and food-consuming livestock products showed a trend of increasing on both sides, with the Hu Huanyong line as the center line. Production factors played a predominant role in food production-to-demand mismatch. Climatic productivity and actual productivity decreased from the southeast to northwest in space in 2019, and human activities significantly impacted productivity. When grassland agriculture is pursued as the adjustment orientation, the production potential can reach up to 4540.76 × 107 kg·FEU. Moreover, a grassland agriculture plan was devised, prioritizing its development in the developed southern regions.

Research on the influencing factors of Chinese agricultural brand competitiveness based on DEMATEL-ISM

Agricultural products are pivotal to the national economy, and a comprehensive analysis of brand competitiveness significantly contributes to the support of agricultural structural adjustment and modernization. Focusing on the Yangtze River Delta region of China, this study develops an evaluation index system encompassing four dimensions: core brand competitiveness, brand management, market competitiveness, and innovation in branding. Utilizing a DEMATEL-ISM model, this research elucidates the intrinsic relationships among factors that influence brand competitiveness, resulting in a four-tier hierarchical model. The analysis delineates key factors at superficial, intermediate, and profound levels that influence brand competitiveness. Notably, regional production bases, along with innovations in brand technology and systems, emerge as profound influencers. Drawing on these findings, the study recommends strategies to enhance production foundations, accurately define development trajectories, spearhead technological innovation to foster collective reform efforts, and advocate for institutional advancements to bolster healthy brand growth.

Dynamics of the Agricultural Water Footprint and the Decoupling Associations with Agricultural Economic Growth in Hangzhou, China

Understanding the relationship between the agricultural water footprint (AWF) and agricultural economic growth (AEG) is of great significance for promoting sustainable agriculture and regional economic development. In this study, we used agricultural statistics data from Hangzhou from 2010 to 2021 to calculate the AWF, predicted the decoupling relationship between the AWF and AEG, and explored the influencing factors of the decoupling relationship between the AWF and AEG. The results showed the following: (1) The AWF in Hangzhou exhibited a decreasing trend, with a reduction from 58.88 × 108 m3 in 2010 to 37.80 × 108 m3 in 2021; this was mainly related to the decline in the water footprints of grain, pork, and egg production. (2) The strong decoupling accounted for 63.64% of the decoupling between the AWF and AEG in Hangzhou during the study period. It was found that an agricultural structure adjustment was the main factor for achieving decoupling between the AWF and AEG. Under the guidance of policy, the decoupling between them could be changed by regulating the output of agricultural products with different water footprint contents per unit. (3) From 2022 to 2026, the AWF in Hangzhou is expected to decrease to 28.21 × 108 m3, while the agricultural economy is projected to increase to CNY 40.008 billion. There will continue to be a strong decoupling status between the AWF and AEG in Hangzhou.

A dataset of Liaoning soil species based on the Second National Soil Survey

Based on Liaoning Soil Species published by Liaoning University Press in 1991, this dataset is one of the results of the Second National Soil Survey in Liaoning Province. We standardize, structurize and digitalize the data of 237 soil species, organizing them based on their distribution areas, morphologic characteristics, physicochemical properties and productivity. Particularly, the dataset uses seven tables delineating Liaoning soil species, including soil classification, soil basic traits, landscape of typical soil profile, genetic horizon of typical soil, physicochemical properties of typical soil profile, administrative region distribution of soil species, and the names of counties and cities. The dataset can be used for land quality assessment and research on environmental change and soil carbon sequestration in Liaoning Province. The dataset serves as a crucial reference for informing agricultural structure adjustment and facilitating the rational use of soil resources in Liaoning Province.

Application of water resource economic management model in agricultural structure adjustment

Abstract Taking the watershed of Nanchang city as an example, through extensive investigations, the socio-economic status, water environment status, and development status of the agricultural industry in the watershed of Nanchang city were evaluated, and the coupling relationship between industrial structure and water environment was analyzed. The dynamic simulation of agricultural industrial structure adjustment in the Nanchang city basin under the constraints of the water environment was carried out to provide scientific decision-making on water resource shortage and other issues in the Nanchang city basin and to effectively solve the problem of water resource shortage. The research results showed that under the constraints of Scheme 2, the growth rate of agricultural output was in a relatively good development process, which was 8.56% in the short term, 6.65% in the medium term, and 10.33% in the long term. It is necessary to conduct research on the agricultural industrial structure in Nanchang city, which is also conducive to the protection of the water environment.

Integrated emergy and economic evaluation of different planting systems in China: implications for coordinating poverty alleviation and rural revitalization

ABSTRACTDeveloping high-value crop planting industries according to local conditions is an important strategy for targeted poverty alleviation, and it is also a momentous solution for agricultural structure adjustment. However, previous studies mainly have focused on their spatiotemporal evolution and economic benefits instead of their environmental impact. An in-depth analysis of high-value crop planting industries is urgently needed. Taking Linquan County as the research area, this study applied emergy and economic analyses to explore the differences among different high-value crop planting systems and wheat planting system from the perspectives of economic benefit, environmental impact and overall sustainability. The results showed that high-value crop planting systems provide more competitive economic profit than that of wheat planting. Despite the high economic benefits, the three highvalue crop planting systems intensify the purchased nonrenewable resource inputs and lead to higher environmental stress, especially the ginger planting system. Under the trade-off of economic benefit and environmental performance, peony planting is considered a promising pattern for further sustainable agriculture considering its synergistic development of photovoltaic power generation. Several policy incentives are suggested to increase the financial attractiveness of environmentally sound patterns and promote a virtuous cycle for future sustainable agriculture.

A dataset of dairy cow diseases for knowledge graph construction in China

As a key area of China’s animal husbandry development, dairy farming plays a pivotal role in promoting agricultural structural adjustment and driving social and economic development. The occurrence of dairy cow disease not only brings great economic losses to animal husbandry, but also seriously threatens food safety and human health. The task of disease prevention and control is important and arduous. The construction of dairy cow disease knowledge graph is the basis of disease prevention and control, which is of great significance to the development of animal husbandry. In the dataset of dairy cow diseases in China for knowledge graph construction, based on books and websites of dairy cow disease types, we carried out data collecting, cleansing, organizing and merging to obtain 261 data of 5 types of dairy cow disease, including 42 infectious diseases, 16 kinds of parasitic diseases, 111 kinds of internal diseases, 54 kinds of surgical diseases, and 38 kinds of obstetric diseases. This dataset can be used to construct a knowledge graph of dairy cow diseases, and provide basic data support for the construction of dairy cow disease prevention and control in China.

Feasibility Study on the Balance of Occupation and Compensation of Degraded Forest Land Project

Fufeng County is a traditional farming area, with superior land consolidation potential and agricultural development conditions. Through the comprehensive renovation of fields, water, roads, forests, and villages, the existing cultivated land area can be increased, the quality of cultivated land can be improved, and the trinity of "quantity, quality, and ecology" can be achieved. Reasonably allocate land resources, promote agricultural structural adjustment, improve production and living conditions in the project area, and increase local farmers' income. After the implementation of this project, it has played a positive role in promoting the development of local agricultural economy, achieving the expected goals of the project, and has great significance for the rational development and utilization of land resources. It is a very necessary and feasible land remediation project.

Variation Trend and Abrupt Change in Temperature Around Hongze Lake from 1981 to 2020

In global warming, the influence of lakes on climate change in surrounding areas has attracted extensive attention from many scholars. Based on 40 years of observation of the daily mean temperature, maximum temperature, and minimum temperature of 16 meteorological observation stations around Hongze Lake, we analyzed the trend and characteristics of temperature change in the area around Hongze Lake from 1981 to 2020. The Mann-Kendall trend analysis method and mutation detection method were used for the analysis. The daily mean, maximum, and minimum temperatures have fluctuated but increased. The daily minimum temperature showed the largest increase (0.55℃/10 years). The daily mean, minimum, and maximum temperatures changed significantly with the seasonal variation, and the warming trend in spring was most significantly observed, followed by those in winter and summer. The historic increase in temperature in autumn was the least significant. The abrupt change points of daily mean, minimum, and maximum temperatures were observed in 1996. Fluctuation became more severe and frequent after such abrupt changes. The increase in temperature in seasons was significant before and after 1998. The abrupt change air temperature of Hongze Lake was observed most frequently in winter, followed by autumn but in spring and summer, there were no such outliers observed in temperature. The closer the area to Hongze Lake, the temperature changes became smaller, the minimum temperature became higher, and the maximum temperature became lower. This verified the climate regulation effect of Hongze Lake on the surrounding area. The research results provide a reference for creating a protocol for possible natural disasters in the future and for transportation in water and agricultural structure adjustment.

Effect of Agricultural Structure Adjustment on Spatio-Temporal Patterns of Net Anthropogenic Nitrogen Inputs in the Pearl River Basin from 1990 to 2019

Worldwide urbanization has brought dramatic changes in agricultural structures, as well as serious agricultural non-point source pollutions of nitrogen and phosphorus. However, understanding the effect of agricultural structure adjustment on net anthropogenic nitrogen inputs (NANI) has been still limited. In this paper, statistical data from the agricultural statistical Yearbook, the National Economic and Social Development Statistical Bulletin were collected from 1990 to 2019 in the Pearl River Basin, China, and used to analyze the spatial and temporal patterns of NANI and its influencing factors. The results indicated that the agricultural structure adjustment has significantly influenced the spatial and temporal patterns of NANI in the last 30 years in the Pearl River Basin. The NANI decreased from 1990 to 2019, and had a spatial pattern of higher values in the upstream areas and lower in the downstream areas. In terms of the nitrogen input sources of NANI, in the economically developed regions downstream, nitrogen inputs are dominated by food/feed nitrogen, which accounted for an average of 49.6% of total nitrogen inputs. In upstream areas with relatively low economic development, fertilizer nitrogen accounted for an average of 54.9% of total nitrogen inputs. A novel nitrogen input source index of NANI, namely the ratio of agricultural nitrogen inputs to non-agricultural nitrogen inputs of NANI(ASNA), was also proposed to characterize the impact of the agricultural industry restructuring on NANI changes over time. Similar to the characteristics of NANI from 1990 to 2019, the ASNA showed a decreasing trend in the study area. Moreover, agricultural variables (agricultural land area, nitrogen fertilizer consumption and livestock farming density) tended to contribute less to the explained ASNA variances, while the contributions of the non-agricultural factors (population density and non-agricultural GDP) increased from 1990 to 2019. This indicated that the contribution of nitrogen inputs from agricultural sources to the NANI decreased while the contribution of nitrogen inputs from non-agricultural sources increased, with the shifts of agricultural sectors to the secondary and tertiary sectors in the Pearl River Basin. Our findings also suggest that differently regional targeting should be considered for the nitrogen pollution management in the Pearl River Basin, which focuses on the nitrogen pollution management of non-agricultural sources in the downstream areas, and but highlights agricultural nitrogen pollution management in the upstream areas.

Analysis of Cultivated Land in Maonan District, Maoming Based on RS and GIS

Food is the most basic human survival need, and cultivated land is the basis of food production. Thereby, monitoring and analysis of cultivated land is the premise and foundation of sustainable agricultural development. In this paper, Maonan District of Maoming City was taken as the research area. The object-oriented classification and cultivated land extraction were carried out by Landsat-8 remote sensing (RS) images, and then a confusion matrix and kappa coefficient were used to evaluate the accuracy of the cultivated land extraction results. The results show that the cultivated land in this area is decreasing. The extraction results of the confusion matrix and Kappa coefficient evaluation were accurate, and the Kappa coefficients of the three different periods were all higher than 0.6. Moreover, the main reasons for the decrease of cultivated land in the study area are population growth, socio-economic development, and the adjustment and change of agricultural structure.

Retracted: Application of Big Data Technology to Promote Agricultural Structure Adjustment and High-Quality Development of Modern Agriculture.

[This retracts the article DOI: 10.1155/2022/5222760.].

Application of Big Data Technology to Promote Agricultural Structure Adjustment and High-Quality Development of Modern Agriculture.

The implementation of the strategy of rural revitalization is a major ministerial work made by the Nineteenth National Congress of the Communist Party of China and is the general grasp of contemporary agriculture, peasants, and rural work. In recent years, with the rapid development of remote sensing technology and deep learning technology, the demand for the technology for the classification of crops on satellite remote sensing images based on deep learning technology has increased in agricultural insurance and land survey. Therefore, this paper trains one, which is 85.9%–92.8%, the accuracy of corn classification is 77%–93%, and the accuracy of forest classification is 77%–87.6%. Subsequently, the overall accuracy of classifying all directories through the multi-temporal validation data set between May 2017 and October 2017 reached 92.6%. Such a multi-time combination method can be used for monthly, timely, and efficient iteration of agricultural insurance and crop yield estimation, which will be more accurate each time. These methods can also be further applied to the growth and change monitoring of large agricultural planting areas, adding bricks and tiles to China's agricultural remote sensing. If the countryside is to be revitalized, agriculture must develop rapidly at the same time, industries must flourish, ecology must be livable, rural customs must be civilized, and life must be prosperous. Modern agriculture is a comprehensive circulation system with high yield, high quality, low consumption, ecology, environmental protection, and high efficiency. The development of modern agriculture is inseparable from the industrialization of agriculture, the globalization of agriculture, the digitization of agriculture, the integration of agriculture, the adjustment of agricultural structure, and agricultural innovation. Only the continuous development of modern agriculture can make rural revitalization enter a new journey.

Problems and Countermeasures of China’s International Trade in Agricultural Products under the Belt and Road Strategy Based on Big Data Analysis Technology in the Internet of Things Era

In order to study the analysis of China’s trade development under big data technology, through the analysis of the import and export of trade, the expansion of international trade exports of agricultural products, the adjustment of agricultural structure, the enrichment of import and export markets, the security of agricultural products, and other issues through the Internet of things technology and traditional technology, as well as the comparison of the overall effect, comprehensive performance, and coupling data, it can be seen that the agricultural trade under Internet of things technology is more convenient and faster. The application of network technology makes things better connected with people, changes the previous way of life, speeds up the development process of international trade, and realizes the real intelligent era.

Influence of Agricultural Structure Adjustment on Economic Growth in Sichuan Province

Influence of Agricultural Structure Adjustment on Economic Growth in Sichuan Province

An Assessment of Soil Quality and Agricultural Production Status in the Alluvial Soil Region: A Case Study in Koch Bihar District, West Bengal, India

Soil refers to the upper layer of the Earth’s surface, which is made up of a mixture of organic residues, clay, and rock particles, and that's where plants grow. The soil quality is the environmental aspect that is most significant in agricultural activities, as well as for the concern of the safety of agricultural produces. At present-day, soil quality assessment becomes the most important issue because of the raising food security awareness. This study was assessed in Koch Bihar district, West Bengal, India, to quantify soil quality using the weighted Soil Quality Index (SQI) approach. For this assessment, the soil-related data were collected from the Soil Health Card (SHC) of the Agricultural Development Offices in all blocks of Koch Bihar and then analyzed using the principal component analysis (PCA) and expert opinion (EO) method. The weights of the selected soil quality indicators were determined using the integrated Fuzzy-AHP model. According to this method, 12 indicators, i.e., soil pH, soil electrical conductivity (EC), soil organic carbon content, nitrogen content, potassium content, phosphors content, soil texture, the groundwater level in the winter season, cropping intensity, and drainage frequency were considered based on literature review. The SQI assessment was done accordingly for each spatial unit (Block), and the spatial variability of the soil quality map was produced by GIS spatial analysis module. The findings may aid in promoting non-harmful produce production, the provision of scientific data for agricultural structure adjustment, and the maintenance of agricultural sustainability.

Mapping of township agricultural land use based on Sentinel-2A images

Objective: to achieve accurately and rapidly the mapping of agricultural land use and crop distribution at the township scale. Methods: this study, based on specific methods, such as, time-series remote sensing index threshold classification and maximum likelihood, classifies each land use type and extracts crop spatial information, under the guidance of Sentinel-2A remote sensing images, to carry out agricultural land use mapping at township scale. And the mapping concerned will be verified by comparing with an agricultural spatial information map of a 0.5 m resolution, which is based on WorldVieW-2 fused images. Results: (1) the area accuracy of grain and oil crop land, vegetable land, agricultural facilities land and garden land is fairly good, with 92.93%, 98.98%, 95.71% and 95.14% respectively, and within 8% variation from actual area; (2) the spatial information of plot boundary, farmland road network, and canal network produced by OSM road data and historical high-resolution images was overlayed with the classification results of Sentinel-2A multi-spectral image for mapping, which can improve the accuracy of plot boundary information of classification results for the image with 10 m resolution. Conclusions: the use of multi-source information fusion method, agricultural land use and crop distribution space big data produced by Sentinel-2A optical image, can effectively improve the accuracy and timeliness of land use mapping at the township scale, to provide technical reference for the application of remote sensing big data to carry out agricultural landscape analysis at the township scale, optimization and adjustment of agricultural structure, etc.

Rational Thinking on County Economic Development and Agricultural Structure Adjustment

Rational Thinking on County Economic Development and Agricultural Structure Adjustment

Assessing the feedback relationship between vegetation and soil moisture over the Loess Plateau, China

The study of the feedback relationship between vegetation and soil water is of great significance for improving the understanding of hydrological process, soil and water conservation and water resources utilization. However, the mutual feedback between vegetation and soil moisture had remained unresolved. To this end, the feedback relationships between NDVI and soil moisture (SM) over the Loess Plateau (LP) were studied by using the Granger causality method. Three layers of soil moisture data were used, with depths of 0–10 cm (SM1), 10–40 cm (SM2) and 40–100 cm (SM3), respectively. The spatial distribution characteristics of causality between NDVI and SM1/ SM2/SM3 were further analyzed. Results indicated that (1) NDVI and SM1 were positively correlated in the whole region of the LP, while NDVI and SM2/SM3 were negatively correlated in the southeast of the region; (2) compared with SM2 and SM3, SM1 and NDVI had a more significant mutual feedback relationship; (3) after the program of “Grain for Green” on the LP, the vegetation increased, the feedback relationship between NDVI and SM1 was further enhanced, and the mutual feedback relationship was the most obvious in the key areas of revegetation. In general, this study sheds new insights into the feedback between vegetation and soil moisture, which can help guide the adjustment of local agricultural structure and ecological restoration.

Design of condenser air filter integrated device for self-cleaning agricultural air conditioning

The goal of this project is focus on developing suitable for air cooling of farm machinery air conditioning condenser, concrete is a kind of self-cleaning air filter of air conditioner condenser of agricultural machinery integration device, can effectively solve the due to poor working conditions of agricultural machinery, air conditioning condenser vulnerable to dust, insects, weeds, such as congestion, caused by poor heat dissipation, leading to frequent failure of a series of problems[1].It is of great significance to save resources, improve economic benefits, adapt to the adjustment of agricultural structure and improve the technical level of agricultural environmental protection equipment[2].