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[学术文献 ] Cost-Effective Modern Chemical Sensor System for Soil Macronutrient Analysis Applied to Thai Sustainable and Precision Agriculture 进入全文
WOS
A modern chemical sensor system (M-CSS) was developed for the cost-effective chemical analysis of Thai precision and sustainable agriculture (TPSA), which is suitable in rural Thailand and elsewhere. The aim of this study was to achieve precision and sustainable agriculture (P-SA). The M-CSS functions according to the International Union of Pure and Applied Chemistry (IUPAC) definition and incorporates information and communication technologies (ICTs). The developed chemical sensor in the M-CSS is based on a colorimetric determination by a smart device/smartphone. Additionally, the preparation of soil samples was investigated. Soil samples of optimal conditions were extracted using an acid extractant in the ratio of one to two (extract to soil sample). Then, phosphate-phosphorous and potassium were detected with the M-CSS, which showed an excellent correlation with the standard reference methods. Interestingly, it is noteworthy that the at-site analysis of the developed method could detect a greater nitrate-nitrogen content than that of the standard reference method. The developed cost-effective analysis for the plant macronutrient content in the soil, including nitrate-nitrogen, phosphate-phosphorous, and potassium, was demonstrated for organic vegetable farms at the real P-SA research site in Northern Thailand. The obtained results can guide the management of the application of fertilizers. The proposed M-CSS exhibited the potential to be used for at-site soil macronutrient analysis and represents the starting point of Thai precision and sustainable agriculture (TPSA).
[学术文献 ] 基于大数据环境下农业信息管理与应用体系构建 进入全文
CNKI
大数据技术与现代农业的结合已逐渐深入,如何深度掌握大数据对农业经济的影响成为我国这一农业大国未来必须面对的经济和技术发展关键问题。文章基于大数据环境下农业信息管理对农业经济的影响,如内涵和重要性进行了分析,对大数据背景下现代农业信息管理与应用的体系进行构建。文章所构建的现代农业信息管理和应用体系包含了现代农业信息管理的整体系统框架、现代农业信息ABC管理对象分解等,能够为我国未来进一步构建现代农业信息大数据应用模型提供平台框架支持和理论依据。
[学术文献 ] 农业大数据的应用及发展建议 进入全文
CNKI
近年来,我国农业大数据的研究和应用发展取得了长足进步,催生了一批新产业、新模式,大幅度提高政府管理能力和企业的经营管理水平,促进了农业粗放分散式发展向精准化和智能化转变。文中概述农业大数据的特点、应用,并对其发展提出建议。
[学术文献 ] Smart agriculture for food quality: facing climate change in the 21st century 进入全文
WOS
Climate change, with increasing temperatures and atmospheric carbon dioxide levels, constitutes a severe threat to the environment and all living organisms. In particular, numerous studies suggest severe consequences for the health of crop plants, affecting both the productivity and quality of raw material destined to the food industry. Of particular concern is the reduction of proteins and essential micronutrients as iron and zinc in crops. Fighting this alarming trends is the challenge of Climate-Smart Agriculture with the double goal of reducing environmental impacts (use of pesticides, nitrogen and phosphorus leaching, soil erosion, water depletion and contamination) and improving raw material and consequently food quality. Organic farming, biofertilizers and to a lesser extent nano-carriers, improve the antioxidant properties of fruits, but the data about proteins and micronutrients are rather contradictory. On the other hand, advanced devices and Precision Agriculture allow the cultivations to be more profitable, efficient, contributing more and more to reduce pest diseases and to increase the quality of agricultural products and food safety. Thus, nowadays adoption of technologies applied to sustainable farming systems is a challenging and dynamic issue for facing negative trends due to environmental impacts and climate changes.
[学术文献 ] A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda 进入全文
WOS
While there is a lot of literature from a natural or technical sciences perspective on different forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, system integration, ubiquitous connectivity, artificial intelligence, digital twins, and blockchain among others), social science researchers have recently started investigating different aspects of digital agriculture in relation to farm production systems, value chains and food systems. This has led to a burgeoning but scattered social science body of literature. There is hence lack of overview of how this field of study is developing, and what are established, emerging, and new themes and topics. This is where this article aims to make a contribution, beyond introducing this special issue which presents seventeen articles dealing with social, economic and institutional dynamics of precision farming, digital agriculture, smart farming or agriculture 4.0. An exploratory literature review shows that five thematic clusters of extant social science literature on digitalization in agriculture can be identified: 1) Adoption, uses and adaptation of digital technologies on farm; 2) Effects of digitalization on farmer identity, farmer skills, and farm work; 3) Power, ownership, privacy and ethics in digitalizing agricultural production systems and value chains; 4) Digitalization and agricultural knowledge and innovation systems (AKIS); and 5) Economics and management of digitalized agricultural production systems and value chains. The main contributions of the special issue articles are mapped against these thematic clusters, revealing new insights on the link between digital agriculture and farm diversity, new economic, business and institutional arrangements both on-farm, in the value chain and food system, and in the innovation system, and emerging ways to ethically govern digital agriculture. Emerging lines of social science enquiry within these thematic clusters are identified and new lines are suggested to create a future research agenda on digital agriculture, smart farming and agriculture 4.0. Also, four potential new thematic social science clusters are also identified, which so far seem weakly developed: 1) Digital agriculture socio-cyber-physical-ecological systems conceptualizations; 2) Digital agriculture policy processes; 3) Digitally enabled agricultural transition pathways; and 4) Global geography of digital agriculture development. This future research agenda provides ample scope for future interdisciplinary and transdisciplinary science on precision farming, digital agriculture, smart farming and agriculture 4.0.
[学术文献 ] Prospects for "Smart Agriculture" in Russia 进入全文
WOS
The authors justify the use of precision agriculture as a key vector in the development of the smart agriculture segment of the FoodNet platform of the national technological initiative. A prospectless extensive agriculture, based on exploitation of natural soil fertility, prevails in Russia; therefore, perennial field research has highlighted the economic and ecological advisability of using the information technologies of precision agriculture. Against the background of a significant increase in crop yields, the payback on fertilizers and plant-protecting agents increased 1.5-1.7 times; the agrochemical load on the environment decreased by 35-60%; and the quality of crop production improved noticeably. The transition to new crop production technologies is justified. Attention is paid to the need to create a domestic physicotechnical and software-hardware basis for precision agriculture, its absence being a major hindrance to the development of smart agriculture in Russia.
