“Productivity levels of Indian agricultural decline due to climate change, excessive pressure of population on land, unscientific and higher fertilizer consumption, the incidence of various pests and diseases, poor mechanization of farming, land degradation, small land holding, climate change, inadequate irrigation facilities and adequate credit and marketing facilities. The numerous effects of climate change on agriculture production, are making it harder for agricultural activities to provide global food security. Rising temperatures and changing weather patterns often result in lower crop yields due to water scarcity caused by drought, heat waves and flooding”.
“Artificial Intelligence (AI) has the potential to solve challenges faced by farmers such as climate change, unbalanced fertilizer application, pest and weed infestations that reduce yields. This technology is designed to protect crop yields from various factors such as climate change, population growth, labour issues and food security concerns. AI technologies will reduce irrigation water, pesticide consumption and precise application of chemical fertilizers, and herbicides, maintain soil fertility and help in efficient farming. Al is being used in applications such as weather forecasting and automatic machine adjustment for disease or pest identification. Monitoring crops, irrigation, and pest control using sensors and robots can help save resources, increase efficiency, and improve productivity and quality”.
Author(s) Details:
Samadhan Surwase
Vasantdada Sugar Institute, Manjari Bk., Tal Haveli Dist., Pune 412 307, Maharashtra, India.
Prakash Kadu
Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India.
Sagar More
Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, Maharashtra, India.
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References
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- Oliveira, R. C. de, & Silva, R. D. de S. (2023). Artificial Intelligence in Agriculture: Benefits, Challenges, and Trends. Applied Sciences, 13(13), 7405. https://doi.org/10.3390/app13137405
- Hubvela. (2023). Advantages and Disadvantages of Artificial Intelligence in Agriculture. https://hubvela.com/hub/technology/advantages-disadvantages-artificial-intelligence/agriculture/
- MDPI. (2023). Machine Learning Applications in Agriculture: Current Trends and Future Prospects. https://www.mdpi.com/2073-4395/13/12/2976
- CGIAR. (2023). Artificial Intelligence: How could it transform agriculture? https://www.cgiar.org/news-events/news/artificial-intelligence-how-could-it-transform-agriculture