Scientific Vision in AI Applications in Agriculture | ||||
| International Journal of Modern Agriculture and Environment | ||||
| Volume 2, Issue 1, June 2022, Page 57-66 PDF (609.54 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijmae.2023.214691.1002 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Mohamed Mahmoud Hassan | ||||
| PhD researcher –Faculty of Agriculture –Alexandria University | ||||
| Abstract | ||||
| Technology plays a very important role. Technology is used in each area to enhance work efficiency, to reduce time consumption and achieve optimal and better results. Food, shelter and cloth are three basic things for humans. An increase in the population ultimately increases the consumption of agricultural products. At present, farming techniques are improved using technology such as artificial intelligence that improves the quality of agricultural production. Research sheds a vision on how to feed the use of technology as a result of different agriculture sectors. AI has been clearly applied in the agricultural sector recently. The sector faces many challenges to maximize its yield, including inappropriate treatment of soil, disease and pest invasion, huge data requirements, low production, and the knowledge gap between farmers and technology. The main concept of artificial intelligence in agriculture is its concept, flexibility, high performance, accuracy and cost-effectiveness. This paper provides a review of AI applications in soil, crop management and weed and disease management. Special emphasis is placed on the strength and limitations of application and the way experts use higher production systems when the industrial revolution occurred, machines have been deployed as alternatives to humans that reduce human action. Nowadays, AI enables human action. In agriculture there is a rapid adaptation of artificial intelligence in its various technologies. | ||||
| Keywords | ||||
| artificial intelligence; agriculture; future machines; robotics | ||||
|
Statistics Article View: 91 PDF Download: 332 |
||||
