Adib Bin Rashid , Ashfakul Karim Kausik , Anika Khandoker , Sk Naymul Siddque
{"title":"Integration of Artificial Intelligence and IoT with UAVs for Precision Agriculture","authors":"Adib Bin Rashid , Ashfakul Karim Kausik , Anika Khandoker , Sk Naymul Siddque","doi":"10.1016/j.hybadv.2025.100458","DOIUrl":null,"url":null,"abstract":"<div><div>This review paper explores the dynamic landscape of precision agriculture and the integration of Unmanned Aerial Vehicles (UAVs) with Artificial Intelligence (AI) and the Internet of Things (IoT). Precision agriculture has emerged as a transformative approach to farming, enabling data-driven decisions, resource optimization, and improved yields. UAVs have become essential tools in agriculture, providing real-time data on crop health, pest infestations, and irrigation needs. Integrating AI and IoT further enhances precision agriculture by enabling data analytics, predictive modeling, and remote monitoring. This paper delves into the concepts and techniques of precision agriculture, the role of UAVs in farming, the applications of AI in crop management, and the IoT devices and connectivity protocols used in agriculture. It highlights successful case studies where UAVs, AI, and IoT work synergistically to deliver efficient, data-driven solutions. The paper also addresses these technologies' challenges and ethical concerns and discusses future trends and innovations. Integrating UAVs, AI, and IoT represents a promising avenue for revolutionizing farming practices, improving efficiency, and ensuring sustainable and environmentally sensible agriculture.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100458"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hybrid Advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773207X2500082X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This review paper explores the dynamic landscape of precision agriculture and the integration of Unmanned Aerial Vehicles (UAVs) with Artificial Intelligence (AI) and the Internet of Things (IoT). Precision agriculture has emerged as a transformative approach to farming, enabling data-driven decisions, resource optimization, and improved yields. UAVs have become essential tools in agriculture, providing real-time data on crop health, pest infestations, and irrigation needs. Integrating AI and IoT further enhances precision agriculture by enabling data analytics, predictive modeling, and remote monitoring. This paper delves into the concepts and techniques of precision agriculture, the role of UAVs in farming, the applications of AI in crop management, and the IoT devices and connectivity protocols used in agriculture. It highlights successful case studies where UAVs, AI, and IoT work synergistically to deliver efficient, data-driven solutions. The paper also addresses these technologies' challenges and ethical concerns and discusses future trends and innovations. Integrating UAVs, AI, and IoT represents a promising avenue for revolutionizing farming practices, improving efficiency, and ensuring sustainable and environmentally sensible agriculture.