Affiliation:
1. Khwaja Fareed University of Engineering and Information Technology, Pakistan
2. Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan
3. Universitas Al Asyariah Mandar, Indonesia
4. AI and Data Science, Global Research Institute of Technology and Engineering, USA
Abstract
This chapter presents an overview of different types of drones, including fixed-wing, multi-rotor, and hybrid models, discussing their distinct capabilities and advantages for agricultural tasks, and highlighting their potential benefits in agriculture. The chapter then delves into the specific applications of drones in agriculture, focusing on crop health monitoring, soil surveying, water management, spraying, and pest control. It emphasizes the role of drones equipped with advanced sensors and imaging technologies in providing real-time data on crop conditions, enabling farmers to make informed decisions regarding irrigation, fertilization, and pest control strategies. Furthermore, the chapter examines the future prospects of drones in agriculture. It explores ongoing research and development efforts aimed at enhancing drone capabilities. The potential integration of artificial intelligence and machine learning algorithms for processing drone-collected data and generating actionable insights is discussed.
Cited by
10 articles.
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