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.