Artificial intelligence (AI) is revolutionizing approaches in plant disease management and
phytopathological research. This review analyzes current applications and future directions …

Currently, AI is being widely used in various agricultural scenarios, including intelligent
perception, real-time field monitoring, intelligent early warning, disease and pest detection …

Plant pathology has developed a wide range of concepts and tools for improving plant
disease management, including models for understanding and responding to new risks from …

In a changing climate where future food security is a growing concern, researchers are
exploring new methods and technologies in the effort to meet ambitious crop yield targets …

Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

Fostering crop health is vital for global food security, underscoring the need for effective
disease detection. This research introduces an innovative artificial intelligence (AI) model …

Agriculture is the backbone of many economies across the globe. More than one billion
people today make living from agriculture [1]. Agricultural development is among the most …

Plant diseases and pests present significant challenges to global food security, leading to
substantial losses in agricultural productivity and threatening environmental sustainability …

Agricultural systems are enormously variable in space and time. New and developing
artificial intelligence (AI)-based tools can leverage site-based science and big data to help …

Over the last 20 years, researchers in the field of digital plant pathology have chased the
goal to implement sensors, machine learning and new technologies into knowledge-based …