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Digital Technologies for Agriculture
Engleski
735 b
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The potential of digital technologies integrated with robust Information and Communication Technology (ICT) frameworks to transform the agriculture sector is immense, with the ability to overcome production, productivity, and profitability stagnation, strengthen market linkages, and enhance farm management practices. By adopting digital technologies in precision agriculture, farmers can modernize their production practices and achieve uniform annual income, reduced risk of crop failure, and increased yields per unit area.
Digital agriculture plays a crucial role in generating data and enabling advanced analytics that empower farmers to make informed decisions about farming and optimize farming economics. Direct applications of digital technology include crop and soil health monitoring, livestock management, crop selection, weather advisories, disease and pest management, and real-time data on both domestic and global markets.
This book introduces various types of digital technologies, such as artificial intelligence, machine learning, deep learning, internet of things, sensors, virtual reality & augmented reality, robotics, geospatial technologies, blockchain, and big data analytics. It also covers the applications of these emerging digital technologies in agriculture for effective implementation in areas such as crop and soil monitoring, real-time crop yield prediction, and more.
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