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Review Article · Open access · Published 8 November 2021

Smart Agriculture: The Future of Agriculture using AI and IoT

Sapna Katiyar1 & Artika Farhana2

Journal of Computer Science, Volume 17, Issue 10, pp. 984–999 · doi.org/10.3844/jcssp.2021.984.999

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Abstract

Agriculture sector contributing a significant share in World economy and in more than nine counties agronomy is the leading segment. Population is rising immensely therefore quality and quantity of food demand increases enormously. Agriculture segment is providing employment prospects to large population as well. Conventional farming styles used by farmers are not competent to fulfil the enlarged demand. To meet the growing demands, emerging innovative practices need to be introduced which can be observed as Agricultural Intelligence and can brought agriculture 4.0 revolution. Artificial Intelligence and Internet of Things like promising technologies convert traditional farming into smart agriculture by optimizing resources, reducing human labor, crop monitoring, weed handling, crop disease management, irrigation, harvesting and supply chain management. These technologies have proven for crop protection against climate changes, excess use of fertilizers, pesticides, herbicides and water for enhanced soil richness. This study presents the survey of researchers work of automation in agriculture with the support of sensors, Agricultural Robots and Drones and AI driven technologies to improve productivity. Moreover limitations, challenges and future scope of smart agriculture is also discussed in this study.

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Katiyar, S. & Farhana, A. (2021). Smart Agriculture: The Future of Agriculture using AI and IoT. Journal of Computer Science, 17(10), 984–999. https://doi.org/10.3844/jcssp.2021.984.999

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Volume 17, Issue 10
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Smart Agriculture: The Future of Agriculture using AI and IoTJournal of Computer Science · Volume 17, Issue 10 · pp. 984–999 · CC BY 4.0Download