Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/21706
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | De, Rahul | |
dc.contributor.author | Agrawal, Nishant | |
dc.contributor.author | Agrawal, Shantanu | |
dc.date.accessioned | 2022-10-28T12:09:21Z | - |
dc.date.available | 2022-10-28T12:09:21Z | - |
dc.date.issued | 2021 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/21706 | - |
dc.description.abstract | On the back of advances in machinery, agriculture has witnessed radical growth and transformation in the past five decades with respect to the speed, scale, and productivity of farm equipment. Other factors that have contributed to its growth are improvements in seed, irrigation, and fertilizers. Now, Agriculture is on the brink of another revolution at the centre of which are technologies like artificial intelligence, internet of things and automation. Al, supported by connected sensors, advanced analytics other emerging technology, hold the potential to improve the efficiency of the farming operations manifolds while ensuring that the operations are more resilient and sustainable in nature. Agriculture has seen rapid machine learning and artificial intelligence adoption for in-field farming operations and techniques and agricultural products. Cognitive computing helps us understand, learn and respond to different scenarios appropriately, thus leading to increased efficiency. Hence it has proven to be one of the most disruptive technologies in agricultural services. | |
dc.publisher | Indian Institute of Management Bangalore | |
dc.relation.ispartofseries | PGP_CCS_P21_191 | |
dc.subject | Artificial intelligence | |
dc.subject | AI | |
dc.subject | Agriculture | |
dc.title | Al in agriculture | |
dc.type | CCS Project Report-PGP | |
dc.pages | 20p. | |
Appears in Collections: | 2021 |
Files in This Item:
File | Size | Format | |
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PGP_CCS_P21_191.pdf | 5.12 MB | Adobe PDF | View/Open Request a copy |
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