Review article
Integrating AI and Drone Technologies in Organic Crop Systems
2025, 90 (4) p. 257-262
Mohammad Hossein Ghaedamini Asadabadi
Abstract
This narrative review examines the transformative role of artificial intelligence (AI) and drone technologies in organic crop production. Literature was identified through targeted searches in databases such as Scopus, Web of Science, Google Scholar, IEEE Xplore, and AGRIS, covering studies published between 2015 and July 2025, with emphasis on certified organic and low‑input farming systems. AI‑driven platforms enable real‑time monitoring of soil moisture, nutrient levels, and water quality, supporting resource efficiency and sustainable practices. Drones enhance precision agriculture through soil organic carbon mapping and targeted delivery of beneficial insects, while block chain‑integrated AI platforms strengthen certification transparency. Overall, these technologies demonstrate broad benefits including improved crop performance, reduced resource use, and enhanced compliance with organic standards. Key challenges remain, particularly high costs, technical expertise requirements, and regulatory gaps, which limit adoption among small‑scale farmers. Future research should prioritize cost‑effective, scalable solutions and standardized protocols to promote equitable access.This narrative review examines the transformative role of artificial intelligence (AI) and drone technologies in organic crop production. Literature was identified through targeted searches in databases such as Scopus, Web of Science, Google Scholar, IEEE Xplore, and AGRIS, covering studies published between 2015 and July 2025, with emphasis on certified organic and low‑input farming systems. AI‑driven platforms enable real‑time monitoring of soil moisture, nutrient levels, and water quality, supporting resource efficiency and sustainable practices. Drones enhance precision agriculture through soil organic carbon mapping and targeted delivery of beneficial insects, while block chain‑integrated AI platforms strengthen certification transparency. Overall, these technologies demonstrate broad benefits including improved crop performance, reduced resource use, and enhanced compliance with organic standards. Key challenges remain, particularly high costs, technical expertise requirements, and regulatory gaps, which limit adoption among small‑scale farmers. Future research should prioritize cost‑effective, scalable solutions and standardized protocols to promote equitable access.
Keywords
precision farming, organic agriculture, biological pest control, artificial intelligence, drone
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