Growing Smarter: The Role of Artificial Intelligence in Agriculture
Data Ram Saini
Dept. of Plant Physiology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh (221 005), India
Pravin Prakash
Dept. of Plant Physiology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh (221 005), India
Sudhir Kumar
Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi (110 012), India
Ipsita Maiti*
Dept. of Plant Physiology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh (221 005), India
Krishna Kumar
Dept. of Plant Physiology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh (221 005), India
DOI: NIL
Keywords: Agri 4.0, Artificial intelligence, Drones, Precision agriculture
Abstract
To meet ever-growing population demands, there are various revolutions in the agricultural sector to increase quality and quantity of yield with minimum damage to the ecosystem. Now-a-days, there is the 4th wave of revolution regarding precision farming with technological advancement (Agri 4.0) for improvement in quality and yield. The new revolution in agriculture involves the application of the Internet of Things (IoT), DL, ML, Artificial Neural Network, Satellite Imagery, i.e., Artificial Intelligence (AI) in a nutshell, to maintain the field and soil well-being to improve the profitability, safety, efficiency of farming practices and supply chain. The application of AI comprises drones, sensors, robots, satellite images, cameras, GPS technology and data analytic software to detect and to predict weather conditions and helps to make productive decisions. AI has many applications such as weather forecasting, soil and crop monitoring, irrigation scheduling, pest detection, yield prediction, market analysis and so on.
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Reference
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