Abstract
This review paper took a cursory look at the important role and benefits of artificial intelligence in agriculture. The paper identified and enumerated the two major components of AI as: (1) Growth is driven by cognitive intelligence and (2) Image-based insights generation. In the use of cognitive intelligence AI makes use of proximity sensing and remote sensing while in imagebased insights generation. AI uses in depth field analysis and scanning of fields using Cognitive Vision Technologies (CVT). Other areas that AI can benefit agriculture were highlighted such as crop disease detection, Crop readiness identification, weather prediction, use of drones in aerial operations and precision farming. Some challenges in the use of AI in agriculture were identified. The paper recommended that these cognitive technology solutions be made available and affordable to reach every farmer in the world.
ALABURA UMAR, A. & U., Z (2020). Use of Artificial Intelligence in Agriculture. Afribary. Retrieved from https://tracking.afribary.com/works/use-of-artificial-intelligence-edited
ALABURA UMAR, ALIYU, and Zarmai U. "Use of Artificial Intelligence in Agriculture" Afribary. Afribary, 11 Sep. 2020, https://tracking.afribary.com/works/use-of-artificial-intelligence-edited. Accessed 07 Nov. 2024.
ALABURA UMAR, ALIYU, and Zarmai U. . "Use of Artificial Intelligence in Agriculture". Afribary, Afribary, 11 Sep. 2020. Web. 07 Nov. 2024. < https://tracking.afribary.com/works/use-of-artificial-intelligence-edited >.
ALABURA UMAR, ALIYU and U., Zarmai . "Use of Artificial Intelligence in Agriculture" Afribary (2020). Accessed November 07, 2024. https://tracking.afribary.com/works/use-of-artificial-intelligence-edited