Agricultural Support Research Articles

The impact of fiscal support for agricultural expenditure on rural residents' consumption: from a perspective of level and structure

PurposeAs China’s industrial structure continues to upgrade and optimize, the consumption capacity of rural residents gradually improves and the role of consumption in economic growth is increasingly prominent. Against the background of weak external demand, the untapped potential of rural consumption has become a key force in expanding domestic demand. As one of the important means that the government has long relied on, fiscal support for agriculture has played a crucial role in activating the rural consumer market. This manuscript aims to explore the impact of local fiscal support for agricultural expenditure (FSAE) on rural consumption in China, as well as to examine the mediating role of the level of rural financial development.Design/methodology/approachIn this manuscript, the authors use the provincial panel data of 31 provinces in China from 2000 to 2020. The data of all variables mainly come from China Statistical Yearbook and China Rural Statistical Yearbook. According to the variable selection above, 651 sample data of 31 provinces and cities across China from 2000 to 2020 are organized. In terms of methodology, multiple fixed-effects panel model is applied to regression.FindingsFirstly, FSAE varies significantly, while rural consumption slowly but steadily rises, with a relatively stable consumption structure. Secondly, FSAE has a significant positive effect on rural consumption. Thirdly, mediation testing indicates that mechanisms such as income, uncertainty and financial development have significant positive mediating effects on rural consumption. Thirdly, there is evident regional heterogeneity in FSAE’s impact on rural consumption. The Western regions, under government fiscal support, show a more significant effect on the elevation of rural consumption levels, while the role of FSAE in optimizing the consumption structure of rural residents in eastern and central regions is more pronounced.Originality/valueFirstly, a systematic examination of local FSAE and rural consumption has been conducted, enriching relevant theories. Secondly, utilizing econometric empirical methods to research the relationship between local FSAE and rural consumption provides an exploratory extension to empirical studies on rural consumption in China. This offers empirical evidence for local fiscal support in agricultural development and the promotion of rural consumption.

REVIEW OF THE APPLICATIONS OF SATELLITE REMOTE SENSING IN ORGANIC FARMING (PART ІI)

The use of remote sensing methods for monitoring, managing, and decision support in agriculture is increasingly intensifying. With the advancement of technologies, they become more accessible, while the quality and security of the obtained data are improving. Striving to improve the quality of the environment and its preservation, expanding the areas occupied by organic farming will allow us to achieve these goals. At the same time, this type of agriculture provides healthy and safe food. For this reason, it is of great importance to start applying satellite data in organic farming as quickly as possible. In Part II of the "Review of the applications of satellite remote sensing in organic farming," we examine the various areas of satellite data application in organic farming. Five different areas of satellite data application in organic farming have been identified, including satellite remote sensing monitoring of weeds, remote sensing of crop stress and irrigation needs, yield forecasting using remote sensing methods and remote sensing monitoring of plant nutrition. From the review conducted, we found that satellite data can significantly support and facilitate the transition to organic farming, adequate fertilization, application in phytosanitary monitoring of crops, and assessment of crop stress.

МЕТОДИЧНІ ПІДХОДИ ДО ОЦІНКИ ТЕХНІЧНОГО ЗАБЕЗПЕЧЕННЯ АГРОБІЗНЕСУ

The technical base is the material basis for the production capabilities of farms. The availability of machinery and the efficiency of its use are determined by the strategic development of enterprises. The issues of formation and efficient use of the resource potential of enterprises in order to increase the competitiveness of agriculture and the national economy as a whole are becoming increasingly important. To date, agroeconomic science has formed the main methodological directions for assessing technical support: the first involves determining its absolute value, and the second - the normative value based on available technical resources. Quantitative assessment of the production potential is established by determining the total value of technical resources at the disposal of agricultural enterprises. This involves comparing heterogeneous production resources (monetary valuation of all components of the resource potential, valuation of technical resources in natural units, determination of their quantity and value per area of agricultural land, etc. The normative value of fixed production assets is calculated in accordance with the performance indicator (the amount of a certain type of product produced, yield, average milk yield, etc.). The analysis of the provision of agricultural enterprises with technical means can be carried out according to the following scheme: assessment of the provision of technical means and efficiency of enterprises; financial analysis of enterprises' activities, comparative analysis; organization of the procedure for assessing the technical resources of enterprises. Three methodological approaches are used for generalized assessment of technical support in agriculture. They are based on various statistical models (deterministic and stochastic) that substantiate the link between the availability of technical resources and production outcomes; normative (standardized) values of the availability of certain types of technical resources, the total availability of which is correlated with the average or base value; and monetary assessment of the components of the technical and technological base of agriculture. The specified indicators make it possible to analyze more deeply changes in the absolute and specific sizes of the main means of production for various production purposes, including technical resources, their species composition and structure over a number of years, average annual growth rates and growth, which makes it possible to establish trends in the dynamics and their movement, apply their rational road structure and dimensions, which ensures the growth of indicators of economic activity, outline and develop recommendations for improving the structure of the material and technical base, its effective use.

ТЕНДЕНЦІЇ РОЗВИТКУ ІНФОРМАЦІЙНОГО ЗАБЕЗПЕЧЕННЯ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ УКРАЇНИ ТА КИТАЮ

The article is aimed at identifying the features and comparing the main trends in the development of information support for agricultural enterprises in Ukraine and China. The relevance of the article is due to the importance of agricultural development in both countries in the context of food security. It is determined that the factor of agricultural development is precisely the informatisation and digitalisation of the industry. Therefore, the purpose of the study was to identify the features and conduct a comparative analysis of the main trends in the development of information support for agricultural enterprises in Ukraine and China. First, the general features and history of agricultural development in the two countries are analysed. The history of development of information support of agricultural enterprises in the countries is analysed. The main aspects of implementation of information support in agriculture of the countries are considered. The main directions of use of information support of agricultural enterprises are determined, the analysis of development trends and comparative analysis of both countries are carried out. The trends in the development of precision agriculture in Ukraine and China are studied. The main information technologies that ensure the development of precision agriculture are identified. The main aspects of the use of big data in agriculture of the countries are determined. The features of the use of artificial intelligence by agricultural enterprises of the countries are determined. The main problems associated with the insufficient level of implementation of information support for agricultural enterprises are identified. It is established that the information support of agricultural enterprises in Ukraine is currently insufficient. The scientific significance of the work is a detailed study of the information support of agricultural enterprises in both countries. The practical value of the work lies in detailing the shortcomings of informatisation of agriculture in Ukraine, which can be used to overcome existing problems and improve the development of the industry.

Data-Driven Insights for Agricultural Extension Services in Rajasthan: A Study of Kisan Call Center Queries

Adopting a demand-driven approach in an ever-evolving agricultural domain is imperative for the effectiveness of agricultural extension services, particularly in the state of Rajasthan, India. The paper comprehensively analyses the vast dataset comprising over four million farmer query calls to the Kisan Call Center in Rajasthan from January 2009 to August 2023. These meticulously preprocessed call records serve as a crucial bridge between the agricultural community and support services, providing invaluable insights into the challenges and needs of Rajasthan’s farmers. Our analysis examines temporal trends in farmer query calls, revealing year-wise and month-to-month insights, including peak call activity periods. The district-wise analysis aids targeted interventions. Understanding call distribution across diverse landscapes. Categorising calls by crop and query type offers insights into distinct farmer challenges, informing tailored policies and support programs. In conclusion, this research underscores the paramount importance of harnessing data driven insights to enhance agricultural support systems in Rajasthan. By doing so, we can ensure the long-term sustainability and prosperity of the farming community, thus contributing to the overall well-being of the state’s agriculture sector. The research is useful for informing evidence-based policy decisions and tailored support services to enhance agricultural productivity and sustainability in Rajasthan.

Deep learning and machine learning approaches for data-driven risk management and decision support in precision agriculture

Deep learning and machine learning approaches for data-driven risk management and decision support in precision agriculture

Urbanization effects on urban vegetable farmers adaptation: Evidence from Ghana

AbstractThis study argues that urban change and urban agriculture are linked and this relationship affects urban farmers. This causes urban farmers to adapt to the urban change and, in this study, within the Greater Accra Metropolitan Area (GAMA). This is because urban agriculture serves as a source of livelihood for urban dwellers and a source of vital food ingredients which helps address food security concerns in the city. This study employs an exploratory sequential mixed method to investigate this phenomenon, which first uses a qualitative methodology and then quantitative methodology to investigate the changes that have occurred within the GAMA and how the farmers are adapting to these changes. A heterogeneous sampling aproach was used to select a total of 29 farmers from 10 farm sites for the qualitative data, while a multistage sampling approach was used to select 251 farmers from 16 farm sites for the quantitative data. The changes within the urban space realized by farmers include climate, land scarcity, increased population, and lifestyle dynamics. The population increase and lifestyle change, for instance, increased demand for vegetables and land scarcity caused farmers to move to secured lands, which led to farmers enjoying security on those lands. However, increased population, for instance, led to more unplanned settlements, which negatively resulted in polluted streams for farming. It also led to land scarcity that has resulted in the eviction of farmers from their farmlands. In adapting to some of the effects of these changes, farmers used several water sources to reduce their dependence on the polluted streams and embarked on intensification and relocated to cheap and cost‐free lands to be able to manage the land scarcity challenge. All these adaptation strategies prove farmers' resilience to the intense urban changes, which affect their farming activities. This calls for a specialized and focused support for urban agriculture by stakeholders responsible for the promotion of urban agriculture.

The Mansholt Plan and the March 1971 Farmers’ Protest in Brussels: the Case of Italy

This article analyses the limited participation of Italian farmers’ unions in the demonstration and the changes it brought to the Italian farm labour force. The first reason for their non-participation was these farmers’ lack of economic means. Italian farmers were among the poorest in the Community and would have had to travel far. Reaching Brussels from Italy, especially from the centre and the south, required a long and costly journey. The second reason was political. Although not always willing to acknowledge it openly, the Italian unions agreed with the demands of the Italian government, which had supported the Mansholt Plan throughout the negotiations. Many of Italy’s demands were accepted in the Plan, and the resulting reform would also ultimately provide support for Italian agriculture. Instead, the demonstrators attacked the Plan and demanded higher prices for the products for which Italy was a strong importer while major Italian production – especially Mediterranean produce – was not supported by the Common Agriculture Policy (CAP).

The Impact of Organic Agriculture on the Development of Green Economy: The Case of Turkiye

This study investigates the influence of organic agriculture on the sustainable economy in Turkiye. The green economy is an economic framework that seeks to enhance long-term human well-being by mitigating environmental hazards and promoting social equity. The strategy plan devised by the Ministry of Agriculture and Forestry in Turkiye outlined seven objectives for the green economy, with five specifically targeting organic agriculture. This study has investigated the global expansion of organic agriculture and found a significant rise in the size of organic farming regions in recent years. An analysis of the progress of organic agriculture in Turkiye, revealing a notable expansion in organic agricultural areas. However, it was observed that this trend has declined over the past five years. The analysis revealed a rise in the backing for organic farming in Turkiye, along with noticeable diversification. The level of support for organic agriculture is established based on the product certificate, and the amount supplied varies by product category. Therefore, organic agriculture plays a vital role in the development of Turkiye’s green economy. To advance organic agriculture, it is crucial to enhance consumers’ and producers’ understanding of the concept of the green economy. Furthermore, it is imperative to broaden the scope of the existing assistance and offer monetary aid to farmers as they transition to organic farming.

РОЛЬ СУБСИДИЙ В ФОРМИРОВАНИИ ФИНАНСОВОГО СОСТОЯНИЯ УЧЕБНО-ОПЫТНЫХ ХОЗЯЙСТВ

The joining of agro-industrial enterprises to the educational institution allowed the formation of a practice base for the preparation of students. However, as a result of joining the educational and experimental farms, they lost the status of an agricultural producer, and therefore the costs not only did not decrease, but also increased due to the new needs of the educational process. Students are unprofessional performers, so production failures may occur that require additional attention and expenses, including those related to scientific research. Thus, the authors raised the issue of expanding the types of state support to agricultural educational institutions, which will improve the learning processes at a new and higher quality level. The purpose of the study is to substantiate the modernization of the financing mechanism for educational and experimental farms, which allows contributing to the development of the scientific potential of agricultural educational institutions. The objectives of the study are to consider the importance of subsidies for educational and experimental farms that are part of the structure of an agricultural educational institution; consideration of the problems of regulatory regulation of state support for educational and experimental farms that are part of agricultural universities; identification of the impact of the financial result of an educational and experimental farm on the educational process. Scientific novelty: the impossibility of releasing modern, qualified specialists into the labor market by agricultural educational institutions due to insufficient state support has been proved. The study has direct practical significance, since it is aimed at improving the quality of education, since the loss of income and the increase in expenses for agricultural activities in agricultural educational institutions in connection with the prospect of performing agrotechnological work by non-professional performers within the framework of studies is an important problem that needs to be solved.

A Novel Lightweight Underwater Fish Individual Recognition Method Based on Local Feature Guidance Training for Precision Aquaculture

Highlights This article proposed a novel lightweight underwater fish individual recognition method. The proposed method can fully learn the characteristic information of fish. This method can guide training through local features. During prediction, only the global branch is utilized, resulting in a small number of parameters. Abstract. Individual recognition of fish within aquaculture fish groups is crucial for monitoring the growth status of each fish and is a key technology for precision and green aquaculture. However, accurately recognizing fish faces challenges due to the significant variations in fish postures and the influence of complex environments. This article aims to present a highly accurate method for underwater fish individual recognition, offering technical support for intelligent fish farming. To achieve this goal, a novel lightweight underwater fish individual recognition method based on local feature guidance training was proposed for precision aquaculture in this study. The method designs a multi-scale network based on deep learning and utilizes SE_ResNext for feature extraction. This network consists of a branch representing the global feature and a branch representing the local feature. During training, the full image of the fish individual is inputted as a coarse scale to the global branch (G-branch) to learn the global feature and calculate the ID loss. The image of each part formed after segmenting the fish individual is inputted as a fine-scale input to the partial branch (P-branch) to learn the local feature. Subsequently, the global feature and local feature are combined to form the fusion feature, and the Triplet loss and ID loss are calculated on the fusion feature. Finally, the loss calculated in the global feature and the loss calculated in the fusion feature are weighted and summed to obtain the total loss. Through the design of the loss function, the global feature is consistently influenced by the local feature, and the local feature serves to guide the global feature. During prediction, the global feature, having learned the information from the local feature, allows for the sole utilization of the G-branch to recognize fish individuals. This approach significantly reduces the number of parameters and computational requirements, resulting in a lightweight network. The method achieves high accuracy, with both Rank-1 and Rank-5 accuracy rates surpassing 95%. Remarkably, even with low image resolution and slight obscuration of the fish body, the Rank-1 accuracy remains above 90%. Keywords: Deep learning, Multi-scale network, Object detection, Recognition of fish individual.

РОЗВИТОК МОЛОЧНОЇ ПРОМИСЛОВОСТІ УКРАЇНИ: РЕАЛІЇ, ВИКЛИКИ ТА ПЕРСПЕКТИВИ

The current state, realities and development trends of the dairy industry of Ukraine are revealed. The main losses of the dairy industry during the war are identified. They are: 39 enterprises are located in the occupied territories, a decrease in livestock in the population sector, an increase in falsification, the growth of the shadow market (more than 20%), the complication and increase in the cost of export logistics, EU fears about threats from exports from of Ukraine. The analysis of the main indicators of the development of the dairy industry in Ukraine was carried out and a decrease in the number of milk processing enterprises, the volume of milk production and the volume of milk processing was revealed. A decrease in the share of milk production by households was established, which is caused by a decrease in the number of cattle in the households due to insufficient support for dairy farming from the state (as a result, a shortage of dairy raw materials restrains the development of the dairy industry). The export-import activity of the dairy industry was analyzed and a decrease in imports due to the outflow of immigrants abroad and changes in the exchange rate and growth in the volume of exports of dairy raw materials was revealed. The situation is especially threatening for those producers who produce cheese, because the specific weight of cheese in imports is 70%. It was revealed that increasing of export of dairy products without Ukrainian ports had become a difficult test for the dairy industry. Thanks to the strong cooperation of state authorities with European partners, Ukrainian companies found new sales markets and were able to increase the volume of goods on the EU market significantly. Prospects for the development of the dairy industry have been identified, effective measures at the legislative, macro- and micro levels regarding the revival of the Ukrainian dairy industry have been suggested and substantiated. It is founded that in order to rebuild and ensure the effective development of the dairy industry, it is first of all necessary to make changes at the legislative level, in particular to the Tax Code, to reduce the VAT for all dairy products, to cancel the VAT for imported innovative equipment, to promote the support of the industry at the state level, namely to focus on construction and reconstruction of livestock and processing complexes; to create opportunities under which enterprises will be able to produce milk in accordance with European sanitary standards.

ПРАВОВЕ ЗАБЕЗПЕЧЕННЯ ДЕРЖАВНОЇ ПІДТРИМКИ ПТАХІВНИЦТВА В УКРАЇНІ: ІСТОРИЧНІ АСПЕКТИ ТА СУЧАСНИЙ СТАН

The purpose of the article is to study the historical aspects and analyse the current state of legalsupport for poultry farming in Ukraine.Methods. The research methodology consists of general and special methods of scientificknowledge, including historical and legal, comparative and legal, systemic and structural,analysis, synthesis and others, which allow for a consistent approach to the disclosure of the goal,to study and compare the positions of scientists, and the provisions of the legal acts of Ukraineregulating state support for poultry farming in our country.Results. The article shows that after the collapse of the Soviet Union and the economic crisis,the poultry industry has significantly declined, which has led to a reduction in the number ofpoultry and a decrease in the production of eggs and poultry meat. At the same time, most of thepoultry enterprises of the former collective and state farms became unprofitable, leading to theirbankruptcy.It is noted that the beginning of the recovery of the poultry industry was the reform of collectiveagricultural enterprises and the creation of private enterprises on their basis, as well as theintroduction of budgetary programmes to support domestic agricultural producers and the use ofpreferential taxation in the field of agriculture.The author notes that the programme of financial support for agricultural enterprises through themechanism of cheaper loans, which provided funds from the state budget to partially compensatethe interest rate on loans taken by agricultural enterprises from banks for the purchase of poultry,eggs for hatching, feed, spare parts for the repair of agricultural machinery and equipment, etc.,was of great importance for the development of poultry farming.It is argued that a significant upgrade of the material and technical base of poultry enterpriseswas facilitated by the budget programme for partial compensation in the amount of 30 per cent ofthe cost of complex domestic agricultural machinery purchased by them. It is proved that the poultry enterprises enjoying a preferential taxation regime in the form ofpayment of a fixed agricultural tax and the introduction of a special taxation regime for thepayment of value added tax stimulated the development of the poultry industry as a whole.It is established that today, poultry enterprises are deprived of any support due to the lack offunding for government budget programmes and the cancellation of preferential taxation, whichhas negatively affected the development of poultry farming.Conclusions. Proposals for the restoration of the poultry industry have been formulated, whichwill contribute to the development and competitiveness of this industry and which could beenshrined in the draft New Agricultural Policy, which is part of the Recovery Plan of Ukraine.

‘Never cry for food’: food security, poverty, and recurring themes in news media regarding rabbit farming in East Africa

Abstract Rabbit farming is a form of low input agriculture that has potential to address food security and poverty in East Africa and beyond. For low input agriculture, farmers utilize local and affordable farm resources making it accessible across income levels. Understanding barriers and facilitators to rabbit farming could increase effectiveness of this form of low input agriculture in communities struggling with low food security and poverty, particularly for indigenous, smallholder farms. News media is an available source of data about community perceptions and practices on issues such as rabbit farming, food security, and poverty. For this qualitative study, researchers applied a priori and open coding text analysis to examine recurring themes in news media representations regarding perceptions of rabbit farming in East Africa. Results reveal that community members view rabbit farming as a community strategy that promotes better nutrition and food security while reducing poverty. Important themes included how gender and other cultural norms shaped efforts, and the role of sustainability and climate change on farming practices. Further, the easy cultivation of rabbits, funding, and protective policy and support of indigenous smallholder farms were perceived as facilitators for rabbit farming. Finally, investment in infrastructure for market, production, and knowledge-transfer of best production and business practices were considered critical to success for rabbit farmers throughout East Africa.

Effect of Seasonal Floods on Farmers’ Household Food Security in the Kassena Nankana Municipal of Ghana.

The Kassena Nankana Municipality has experienced an increase in the frequency and severity of seasonal floods, threatening the livelihoods of local farmers. These floods disrupt agricultural activities and exacerbate regional food insecurity. This study examined the extent to which floods affected local farmers’ food security. Interviews were conducted with 150 farm households from five different communities. To understand the nature, scope of the flooding and damages caused by the floods, descriptive statistics were employed. The floods’ effect on farmers’ food security were examined using Ordinary Least Squares (OLS) econometric modelling. The Food and Nutrition Technical Assistance (FANTA) Household Dietary Diversity Score (HDDS) and Food and Agriculture Organization (FAO) Food Consumption Score (FCS) models were used to assess food security levels. The majority of the floods in the area were caused by heavy rains. These floods resulted in total asset losses of GHS 653,640.6 (USD 116,722.00), with maize crops bearing the brunt of the damage at GHS 106,712.00. (USD 19,056.00). Properties worth GHS 276,275.00 (USD 49,335.00) were destroyed, including houses, animal pens, storage rooms, bicycles, and motorbikes, and with estimated loss of 3,383 birds. Due to the floods, two people died and 201 people became ill. Food security was found to be positively associated with factors such as male-headed households, age, income, and access to credit. The size of a household had a negative impact on food security. The study recommended targeted policies to improve agricultural productivity and support smallholder farmers, such as loan and social security schemes, women’s empowerment, and the establishment of irrigation facilities to improve regional food security.

Utility of Agri Clinic and Agricultural Business Center Training contents for Agripreneurs in Uttar Pradesh

Ministry of Agriculture and Farmers’ Welfare in India, aims to empower rural youth with agricultural backgrounds to establish their own agricultural enterprises and support farmers. The research, conducted from March to September 2021, focused on assessing the effectiveness of training courses offered by the nodal institute, Shree-Maa-Guru Gramodhyog Sansthan in Varanasi, Uttar Pradesh. A total of 100 respondents were selected for this study and data were collected through a pre-tested structured interview schedule. It was found high utility indices in the entrepreneurial development phase for characteristics and presentation skills (52.0), entrepreneurial management phase for case studies (65.2), and enterprise planning phase for exposure visits and type of organization was perceived high utility (66.2). Animal husbandry comprised 46 per cent of established enterprises, while crop production and nursery activities constituted 20 per cent. Most agripreneurs had little to no work experience (55%). Major challenges included social stigma (60%), market fluctuations (59%), price factors (40%), and unpredictable climatic conditions (33%). The study suggests a holistic approach to refining the ACABC program, ensuring it aligns with the dynamic requirements of agripreneurs in Uttar Pradesh. This approach involves content enrichment, digital literacy promotion, strategic management emphasis, experiential learning, local opportunities exploration, resource mobilization enhancement, customization, and continuous evaluation.

Fabrication of Biodegradable Polymer Nanocomposites for Sustainable Agriculture

This research examines the production, characteristics, and possible uses of biodegradable polymer nanocomposites in the field of sustainable agriculture. By doing a thorough examination of the experimental data, significant discoveries have been clarified. The composition analysis showed differences in polymer type and nanofiller amount across various nanocomposites. The nanocomposites based on PLA had the greatest polymer content, followed by PHA, PBS, and PCL. Comparative mechanical testing revealed that PBS-based nanocomposites had greater tensile strength, Young’s modulus, and elongation at break when compared to other polymers. An investigation of degradation rates showed that the nanocomposites had different levels of biodegradability. The nanocomposites based on PCL had the slowest degradation rates, while the ones based on PLA had the greatest degradation rates. In addition, the nutrient release data showed variations in the rates at which nitrogen, phosphorus, and potassium were released. The nanocomposites based on PBS demonstrated effective delivery of nutrients to plants. The results emphasize the promise of biodegradable polymer nanocomposites as adaptable materials for sustainable agricultural applications, such as mulching films, seed coatings, controlled-release fertilizers, and soil supplements. Potential areas for future study including enhancing production techniques, investigating innovative nanofillers, and assessing the performance of nanocomposites in real-world scenarios. Biodegradable polymer nanocomposites have the potential to enhance sustainable agricultural practices and support environmental stewardship in food production via multidisciplinary cooperation and innovation.

Integration of the agricultural sector and water use system of Kyrgyzstan in the context of global integration programs

The peculiarities of agricultural development and water use system in Kyrgyzstan and Central Asian countries are revealed. The main features of the land-saving type of development of the industry, characterized by low labor productivity, predominant production in the household sector, and small size of land are defined. The current system of water use, utilization and management of water resources was assessed. In the context of OBOR global integration programs, the directions of development of the agrarian belt, integration of the agrarian sector and water use system are substantiated. The main aspects of this integration are considered, including agricultural policy and support, introduction of innovative technologies for efficient water use in the agricultural sector and ensuring sustainable development of agriculture and water use system.

E-Agriculture And Rural Development In India

E-agriculture, the integration of information and communication technologies (ICTs) into agricultural practices, has emerged as a critical driver of rural development in India. This paper provides an overview of e-agriculture initiatives and their impact on rural communities in the Indian context. It explores key components such as information access, market linkages, financial inclusion, precision farming, skill development, and policy support. Through a comprehensive review of literature and analysis of case studies, this paper highlights the transformative potential of e-agriculture in enhancing agricultural productivity, improving livelihoods, and promoting inclusive growth. It examines the role of digital platforms, mobile applications, and ICT-enabled services in providing farmers with access to crucial information, facilitating market interactions, and enabling financial transactions. Furthermore, this paper identifies challenges such as infrastructural limitations, digital divide, and the need for tailored solutions to address the diverse needs of rural communities. It underscores the importance of policy support, capacity building, and public-private partnerships in fostering the adoption and scalability of e-agriculture initiatives. Overall, this paper underscores the significance of e-agriculture as a catalyst for sustainable rural development in India. It offers insights into the opportunities, challenges, and policy implications associated with harnessing ICTs to transform agriculture and empower rural communities. Through continued research, innovation, and stakeholder collaboration, e-agriculture holds the promise of driving inclusive and resilient growth in India's agrarian landscape. E-agriculture

Improvement of agricultural productivity and optimization of rural economic structure from a digital perspective

Abstract This paper first analyzes and researches the current practice status of digital transformation of Chinese agricultural production from production, credit, and management aspects. Then, it analyzes the measurement of agricultural production efficiency and the factors influencing agricultural production efficiency in the context of digital transformation by using DEA measurement tools. The impact of digitalization level enhancement on rural economic structure is also analyzed and explained from the perspective of technological progress bias through spatial econometric models. The results show that the level of digitalization promotes the development of agricultural modernization in terms of the change in the ranking of scores between 2014 and 2023. The correlation coefficients of the level of digital economy development, financial support for agriculture, and urbanization rate are 0.483, 1.163, and 0.764, which significantly promote the efficiency of agricultural production in China. There is a significant spatial dependence relationship between economic structure and digital transformation (P<0.001).