2025/01/01 by Ennouri, Karim, Gouiaa, Mohamed, Amar, Fathi Ben +2
Environmental Science · Agricultural and Biological Sciences · #Remote Sensing in Agriculture #Smart Agriculture and AI #Soil Geostatistics and Mapping
paper · doi:10.71751/jaaogv4i1y2025-13-18
The application of remote sensing technologies in plant disease detection represents a transformative advancement in agricultural management, particularly in combating threats posed by bacterial pathogens. Bacteria significantly impact crop health, leading to reduced yields and economic losses for farmers. Remote sensing, utilizing satellite imagery and specialized sensors, enables early identification of disease symptoms through analysis of spectral signatures, allowing for timely interventions. Various remote sensing methods, including multispectral and hyperspectral imaging, provide detailed insights into plant health, facilitating the development of targeted disease management strategies. Despite challenges such as technical limitations and environmental factors affecting data accuracy, ongoing advancements in sensor technology and data interpretation methodologies promise to enhance the effectiveness of remote sensing in agriculture. Future perspectives highlight the importance of integrating remote sensing with ground-based methods and fostering collaboration among stakeholders to ensure sustainable agricultural practices and food security.