Exploring Artificial Intelligence Applications in the Agricultural Sector
Journal of Smart and Sustainable Farming
Received On : 02 January 2025
Revised On : 22 February 2025
Accepted On : 23 March 2025
Published On : 08 April 2025
Volume 01, 2025
Pages : 045-055
Abstract
This study conducts a comprehensive review and critical analysis of scholarly articles pertaining to the use of Artificial Intelligence (AI) within the agricultural industry. Subsequently, it delves into an examination of the possible utilization of AI in various agricultural contexts. Farmers are now able to use advanced data and analytics solutions driven by AI, enabling them to optimize crop yields and reduce inefficiencies in the cultivation of biofuels and food. The sectors of agriculture are now seeing a transformative impact from the integration of AI and Machine Learning (ML), which have already shown significant advancements in several domains. Several emerging technologies are now being developed to facilitate the process of crop and soil monitoring for farmers, hence enhancing its simplicity. The cutting-edge techniques used in the monitoring of crop health include 3D laser scanning and hyperspectral imaging, which are based on AI. The use of AI-enhanced advancements enables the collection of more comprehensive data pertaining to the health of crops, surpassing previous levels of detail. The research focused on the significance of AI inside the agricultural sector. This article provides a brief overview of the functioning of AI in the agricultural sector, as well as the many elements that may be monitored via the use of AI technology. Ultimately, we have successfully examined the primary applications of artificial intelligence within the agricultural sector.
Keywords
Artificial Intelligence, Machine Learning, Internet of Things, Precision Farming, Crop Monitoring, Plant Diseases.
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Cite this Article
Arulmurugan Ramu, “Exploring Artificial Intelligence Applications in the Agricultural Sector”, Journal of Smart and Sustainable Farming, pp. 045-055, 08 April 2025, doi: 10.64026/JSSF/2025005.
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© 2025 Arulmurugan Ramu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.