Applications of Artificial Intelligence in Agriculture: A Review
The application of Artificial Intelligence (AI) has been evident in the agricultural sector recently. The sector faces numerous challenges in order to maximize its yield including improper soil treatment, disease and pest infestation, big data requirements, low output, and knowledge gap between farm...
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| Published in | Engineering, technology & applied science research Vol. 9; no. 4; pp. 4377 - 4383 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.08.2019
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| Online Access | Get full text |
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| Summary: | The application of Artificial Intelligence (AI) has been evident in the agricultural sector recently. The sector faces numerous challenges in order to maximize its yield including improper soil treatment, disease and pest infestation, big data requirements, low output, and knowledge gap between farmers and technology. The main concept of AI in agriculture is its flexibility, high performance, accuracy, and cost-effectiveness. This paper presents a review of the applications of AI in soil management, crop management, weed management and disease management. A special focus is laid on the strength and limitations of the application and the way in utilizing expert systems for higher productivity. |
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| ISSN: | 2241-4487 1792-8036 |
| DOI: | 10.48084/etasr.2756 |