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Review Papers | Agriculture and Technology | India | Volume 11 Issue 5, May 2022 | Rating: 5.3 / 10

Artificial Intelligence in Agriculture

Shilpa Kaushal ^[3] | Shivam Kumar ^[3] | Sayed Tabrez ^[2]

Abstract: Technologies like computer science, Internet, giant information Analytics, Block Chain Technology etc. computer science provides correct and timely data regarding plants, land, climate and insects etc. for farmers; so, it's going to improve crop production at a reduced risk resulting Agriculture faces major challenges. Increasing production by seventieth to full-fill world demand over subsequent fifty years could be a risky goal because of restricted resources, temperature change and different short-run and regional threats. Agriculture is that the largest sector within the world. Doubtless, it's the most important supplier of livelihoods in Asian nation; particularly in rural India. Agriculture is that the backbone of the Indian economy. The Indian government has set itself the goal of doubling farmers' financial gain by 2022 and also the Agricultural Export Policy has set a target to extend agricultural exports. Digital technology will play a transformative role in modernization and coming up with however rural Asian nation performs its agricultural activities in improved financial gain for farmers. Objectives: This present study explores how (AI) Artificial intelligence can help in fulfilling the demand which is going to rise in future and helps in producing agricultural produces in bulk quantity, also role of AI in nutritional assessment and management of soil.

Keywords: Artificial Intelligence, Machine Learning, Mobile Computing, Agriculture

Edition: Volume 11 Issue 5, May 2022,

Pages: 1682 - 1688