Interpretability in the Field of Plant Disease Detection: A Review
The early detection of diseases in plants through artificial intelligence techniques has been a very important technological advance for agriculture since, through machine learning and optimization algorithms, it has been possible to increase the yield of various crops in several countries around th...
Main Authors: | Leal-Lara, Daniel-David, Barón-Velandia, Julio, Rocha-Calderón, Camilo-Enrique |
---|---|
格式: | Online |
语言: | eng |
出版: |
Universidad Pedagógica y Tecnológica de Colombia
2021
|
主题: | |
在线阅读: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13495 |
- 相似书籍
-
Fourier Analysis Approach to Identify Water Bodies Through Hyperspectral Imagery
由: Chanchí-Golondrino, Gabriel-Elías, et al.
出版: (2023) -
Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images
由: Pachajoa, Dalila-Mercedes, et al.
出版: (2021) -
Collision detection with V-Collide and PhysX libraries for virtual interaction with haptic interfaces
由: Pinto-Salamanca, María Luisa, et al.
出版: (2015) -
Quantitative PCR for detection of Citrus tristeza virus in Colombia
由: Solano-Luna, Luis Miguel, et al.
出版: (2018) -
Anomalies detection for big data
由: Torres-Domínguez, Omar, et al.
出版: (2019)