The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …

During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

The use of deep learning models to identify lesions on cotton leaves on the basis of images
of the crop in the field is proposed in this article. Cultivated in most of the world, cotton is one …

Cloud detection in optical remote sensing images is a crucial problem because undetected
clouds can produce misleading results in the analyses of surface and atmospheric …

Information on land use and land cover (LULC) including forest cover is important for the
development of strategies for land planning and management. Satellite remotely sensed …

Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide
application, and reduce risks to human and animal health. IPM is based on two important …

Cotton root rot (CRR) is a persistent soilborne fungal disease that is devastating to cotton in
the southwestern US and Mexico. Research has shown that CRR can be prevented or at …

Combining optical and polarimetric synthetic aperture radar (PolSAR) earth observations
offers a complementary data set with a significant number of spectral, textural, and …

Precision agriculture (PA) research aims to design decision systems based on agricultural
site control and management. These systems consist of observing fields and measuring …

The timely monitoring of crop disease development is very important for precision agriculture
applications. Remote sensing-based vegetation indices (VIs) can be good indicators of crop …