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

The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …

Advances in automated and high-throughput imaging technologies have resulted in a
deluge of high-resolution images and sensor data of plants. However, extracting patterns …

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 …

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 …

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 …

Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …

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

This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …