Abstract
The globe is generating top frameworks or user-friendly systems to assist people, and agriculture is one of the most significant sectors where extensive and advanced study has been developed. This article emphasizes the significance of agriculture in computer science and engineering, as well as how modern technologies such as ML, IoT, Big Data, and Cyber are influencing agriculture. A thorough analysis was done and discussed, which describes certain existing frameworks and procedures in the agriculture industry from 2020 to 2023. This study discusses how top technologies such as ML, IoT, Big data and mining, and cyber-based methodologies may be used in agriculture, as well as possible future consequences. This research also addresses current frameworks and crucial elements to incorporate from the research point of view to aid farmers in improving their agricultural practices, production, and other factors. Integration of current technologies may be of great assistance in increasing the efficiency and performance of existing frameworks and forthcoming systems because it can provide numerous benefits and security for agricultural assistance in which few integrated technologies have been mentioned.
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Singh, D., Singh, A., Rakhra, M., Sarkar, T., Cheema, G.S., Khamparia, A. (2024). Predictions on the Future of Agriculture and Recent Developments in Agricultural Technology. In: Al-Turjman, F. (eds) The Smart IoT Blueprint: Engineering a Connected Future. AIoTSS 2024. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-63103-0_31
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