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 …

Precision agriculture (PA) utilizes tools and technologies to identify in-field soil and crop
variability for improving farming practices and optimizing agronomic inputs. Traditionally …

The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …

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 …

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

The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting
symptoms, is a key quantitative variable to know for many diseases and is prone to error …

Photosynthesis is a pivotal process in plant physiology, and its regulation plays an important
role in plant defense against biotic stress. Interactions with pathogens and pests often cause …

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

The detection and identification of plant diseases is crucial for an appropriate and targeted
application of plant protection measures in crop production. Recently, intensive research …