Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …

Plant diseases contribute to significant economic and post-harvest losses in agricultural
production sector all over the world. Early detection of plant diseases and pathogens is …

In traditional practices, detection of rice plant diseases by experts is a subjective matter
whereas by testing in the laboratory is time-consuming. As a consequence, it causes …

The present review provides a perspective angle on the historical and cutting-edge
strategies of remote sensing techniques and its applications, especially for insect pest and …

Weeds are among the major constraints to any crop production system, reducing productivity
and profitability. Herbicides are among the most effective methods to control weeds, and …

Detection and monitoring are the first essential step for effective management of sheath
blight (ShB), a major disease in rice worldwide. Unmanned aerial systems have a high …

This study examines the use of deep convolutional neural network in the classification of rice
plants according to health status based on images of its leaves. A three-class classifier was …

Since the dawn of agriculture, farmers have been at the stake of dealing with pests and
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …

Early and accurate disease detection is essential for implementing timely disease
management practices. Current disease detection tactics, like visual detection through …

Ten, widely-used vegetation indices (VIs), based on mathematical combinations of narrow-
band optical reflectance measurements in the visible/near infrared wavelength range were …