Applications of AI in Agriculture
- Authors: Taranjeet Singh1, Harshit Bhadwaj2, Lalita Verma3, Nipun R Navadia4, Devendra Singh5, Aditi Sakalle6, Arpit Bhardwaj7
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View Affiliations Hide AffiliationsAffiliations: 1 IFTM University, Moradabad, India 2 Mangalmay Institute of Engineering and Technology, Greater Noida, India 3 Mangalmay Institute of Engineering and Technology, Greater Noida, India 4 Dronacharya Group of Institutions, Greater Noida, India 5 IFTM University, Moradabad, India 6 USICT, Gautam Buddha University, Greater Noida, India 7 Bennett University, Greater Noida, India
- Source: Challenges and Opportunities for Deep Learning Applications in Industry 4.0 , pp 181-203
- Publication Date: October 2022
- Language: English
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AI based applications are used for farm-based advisories regarding sprays, forecasting, usage of drones within the farms, infrastructure for humidity and temperature updates to the farmers, etc. Thanks to this, the losses of farmers have begun to decline. Therefore, considering the aims of the government regarding doubling the farmers’ income, the losses of the farmers must be minimized using AI practices. AI intervention has the potential to boost the social and economic well-being of farmers within the medium to long run. The adoption of AI is useful in agriculture as it can bring industrial revolution and explosion in agriculture to feed the growing human population of the world. The study highlights that AI based farm advisory systems are playing an immense role in solving the problems of the farmers by enabling them to require proactive decisions on their respective farms. Various applications of Artificial Intelligence (AI in harvesting, plant disease detection, pesticide usage, AI based mobile applications for farmer support etc.) have been discussed in this survey in detail. Finally, the overview of Deep Learning and its application in agriculture is given.
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