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This book, 'Digital Agricultural Ecosystem,' edited by Kuldeep Singh and Prasanna Kolar, explores revolutionary advancements in agriculture through digital technologies. It discusses the roles of various entities such as farmers, technology providers, researchers, policymakers, and customers within the digital agricultural ecosystem. The book delves into elements like hardware, software, data, and human capital, emphasizing their impact on efficiency and profitability in agriculture. It also covers topics like smart and sustainable agriculture, digital trends in the agri-food sector, and the adoption of blockchain technology in supply chains. The work aims to provide insights into transforming Indian agriculture using efficiency analysis, targeting professionals, researchers, and policymakers in the agricultural field.
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Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.
Agriculture --- Agricultural informatics. --- Data processing.
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Agro geoinformation, the agricultural related geo information, is the key information in the agricultural decision making and policy formulation process The Agro Geoinformatics, a branch of geoinformatics, is the science and technology about handling digital agro geoinformation, such as collecting (mainly through remote sensing and field investigation), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, and disseminating agro geoinformation Recent advances in geoinformatics have created new opportunities and challenges in applying agro geoinformatics to agriculture monitoring, assessment, and decision making This International Conference on Agro Geoinformatics is a major venue for professionals and students to exchange ideas, research results, professional experiences, and future vision in the fields of geoinformation science, remote sensing, and their applications in agriculture.
Agricultural informatics --- Agriculture --- Geographic information systems
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Agricultural informatics. --- Agriculture --- Geographic information systems
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Agricultural informatics. --- Agriculture --- Geographic information systems
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"This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing functional and non-functional technologies. It identifies and discusses smart agriculture capabilities and conceptual prototypes, as well as demonstrates critical technological solutions"--
Alternative agriculture. --- Artificial intelligence. --- Agricultural informatics.
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Agriculture --- Agricultural informatics --- Agricultural informatics. --- Agriculture. --- Economic aspects --- Economic aspects. --- Aspect économique --- Informatique
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Agriculture --- Agricultural informatics --- Agricultural informatics. --- Agriculture. --- Economic aspects --- Economic aspects. --- Aspect économique --- Informatique
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Annotation Agro geoinformation is critical for the agricultural sustainability, food security, environmental research, bioenergy, natural resource conservation, land use management, carbon accounting, global climate change, health research, agricultural industry, commodity trading, economy research, education, agricultural decision making and policy formulation, etc The Agro Geoinformatics conferences have provided and will continue to provide an ideal venue for professionals and students to exchange their ideas, research results, professional experiences, the latest developments and future vision of Agro geoinformatics The Agro Geoinformatics 2014 conference will continue covering the recent advances in the life cycle of Agro geoinformatics, from data collection (including field surveys and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, disseminating to decision making.
Agricultural informatics. --- Agro-informatics --- Agroinformatics --- Agriculture --- Information science --- Data processing
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