Applications of Artificial Intelligence in Agriculture: A Review
By Ngozi C. Eli-Chukwu. Engineering, Technology & Applied Science Research, 2019
315 citations recorded by the source corpus.
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.
Subfields: Plant Science
View Paper: https://www.semanticscholar.org/paper/6e087108aa8048da8cfc82cdecb7071a55bab488
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In Plant Science
Citations in the corpus
- Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies? (2021, background): “In the study, Eli-Chukwu [13] stated that AI plays critical role to solve some of the challenges affecting the agricultural sector especially the ability of farmers to maximize yields.”