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 are responsible for major economic losses in the agricultural industry
worldwide. Monitoring plant health and detecting pathogen early are essential to reduce …

Early and accurate detection and diagnosis of plant diseases are key factors in plant
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …

Food losses due to crop infections from pathogens such as bacteria, viruses and fungi are
persistent issues in agriculture for centuries across the globe. In order to minimize the …

Diseases in plants cause major production and economic losses in agricultural industry
worldwide. Monitoring of health and detection of diseases in plants and trees is critical for …

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

This paper reviews advanced Neural Network (NN) techniques available to process
hyperspectral data, with a special emphasis on plant disease detection. Firstly, we provide a …

Automatic methods for an early detection of plant diseases are vital for precision crop
protection. The main contribution of this paper is a procedure for the early detection and …

Global plant genetics research efforts have focused on develo** high yielding, stress
tolerant, and disease resistant row and field crop varieties that are more efficient in their use …

Reliable, precise and accurate estimates of disease severity are important for predicting
yield loss, monitoring and forecasting epidemics, for assessing crop germplasm for disease …