Journal of Forestry, Journal Year: 2025, Volume and Issue: unknown
Published: May 16, 2025
Language: Английский
Journal of Forestry, Journal Year: 2025, Volume and Issue: unknown
Published: May 16, 2025
Language: Английский
Drones, Journal Year: 2024, Volume and Issue: 8(11), P. 664 - 664
Published: Nov. 10, 2024
The integration of unmanned aerial vehicles (UAVs) with artificial intelligence (AI) and machine learning (ML) has fundamentally transformed precision agriculture by enhancing efficiency, sustainability, data-driven decision making. In this paper, we present a comprehensive overview the multispectral, hyperspectral, thermal sensors mounted on drones AI-driven algorithms to transform modern farms. Such technologies support crop health monitoring in real time, resource management, automated making, thus improving productivity considerably reduced consumption. However, limitations include high costs operation, limited UAV battery life, need for highly trained operators. novelty study lies thorough analysis comparison all UAV-AI research, along an existing related works gaps. Furthermore, practical solutions technological challenges are summarized provide insights into agriculture. This paper also discusses barriers adoption suggests overcome limitations. Finally, outlines future research directions, which will discuss advances sensor technology, energy-efficient AI models, how these aspects influence ethical considerations regarding use UAVs agricultural research.
Language: Английский
Citations
12Crop Protection, Journal Year: 2025, Volume and Issue: unknown, P. 107240 - 107240
Published: April 1, 2025
Language: Английский
Citations
0Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110399 - 110399
Published: April 15, 2025
Language: Английский
Citations
0Journal of Forestry, Journal Year: 2025, Volume and Issue: unknown
Published: May 16, 2025
Language: Английский
Citations
0