Review Article Open Access

Smart Agriculture: The Future of Agriculture using AI and IoT

Sapna Katiyar1 and Artika Farhana2
  • 1 ABES Institute of Technology, India
  • 2 Jizan University, Saudi Arabia

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.

Journal of Computer Science
Volume 17 No. 10, 2021, 984-999

DOI: https://doi.org/10.3844/jcssp.2021.984.999

Submitted On: 18 September 2021 Published On: 8 November 2021

How to Cite: 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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Keywords

  • Artificial Intelligence
  • Internet of Things
  • Agriculture
  • Smart Farming
  • Irrigation
  • Pesticides
  • Herbicides
  • Wireless Sensor Network