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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/6059
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DC Field | Value | Language |
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dc.contributor.author | Gurwinder Kaur | - |
dc.contributor.author | Barinderjit Singh | - |
dc.date.accessioned | 2024-02-27T05:54:11Z | - |
dc.date.available | 2024-02-27T05:54:11Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/6059 | - |
dc.description.abstract | Agriculture plays a significant role in the economic growth and development. Over the years, Al-based technological improvements have profound~v impacted farming and tran~fiJrmed the business. These technologies could help farmers to he proactive rather than reactive in their/arming practices. These technologies allow.farmers to boost agricultural yield. soil analysis, pest alfack monitoring, water management, seed management, crop rotation, better control (~l harvesting conditions and timing, nutrition management, and reduced waste. I lmveve1; in order to reap all these benefits, ejfective collaboration hetu:een Government, science, and business is also vital. This article attempts to outline the sign[ficunt Al hasedsmart agricultural technologies, their sign{ficance and the challenges confinnting Indian agriculture with potential solutions. | - |
dc.publisher | The Management Accountant | - |
dc.title | Artificial Intelligence (AI) Based Smart Agriculture for Sustainable Development | - |
dc.vol | Vol. 57 | - |
dc.issued | No. 6 | - |
Appears in Collections: | Articles to be qced |
Files in This Item:
File | Size | Format | |
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ARTIFICIAL INTELLIGENCE BASED SMART AGRICULTURE.pdf Restricted Access | 2.45 MB | Adobe PDF | View/Open Request a copy |
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