Abstract
Agricultural farming is viewed as an essential requirement in today’s era as it meets one of the basic needs of an individual, which is food. The majority of India’s farming families live in rural areas, and they are found to be aloof from the world of technology. This leads to unnoticed essential agricultural support services required for farming activities. Furthermore, improved extension and advisory services catering to the farming community enables to boost farmers’ productivity and revenue. The introduction of technical resources that are appropriate, affordable, user-friendly, and scalable for farmers can improve several aspects of farming. In this research, an architecture for a smart analytics system for effective farming activities has been proposed, and the proposed system ensures to take into account the key elements that fetch high returns, such as effective irrigation, pesticide application to crops at the appropriate time, crop selection, and informing marketing partners about the harvesting period and crop details. Using the proposed analytics system, the farmers will be alerted and prompted with the action required on regular basis. The proposed system resolves the setbacks of conventional farming practices by making efficient use of water resources and cutting production costs. Farmers can be exposed with the essential advice services throughout the whole farming cycle using the proposed approach.
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Sumathi, K., Santharam, K., Selvarani, K. (2024). Smart Analytics System for Digital Farming. In: Jacob, I.J., Piramuthu, S., Falkowski-Gilski, P. (eds) Data Intelligence and Cognitive Informatics. ICDICI 2023. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-7962-2_14
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DOI: https://doi.org/10.1007/978-981-99-7962-2_14
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