- Titre : Application of remote sensing technology for plant disease detection
- DOI: 10.71751/jaaogv4i1y2025-13-18
- Auteur : Karim Ennouri, Mohamed Ali Triki, Mohamed Gouiaa, Fathi Ben Amar, Monia Ennouri
- Résumé : 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. - Pagination : 13-18
