Deep learning has played a crucial role in the field of smart agriculture and been widely
used in various applications. However, the deep learning models are constrained by data …

Rapid advances and diffusion of artificial intelligence (AI) technologies have the potential to
transform agriculture globally by improving measurement, prediction, and site-specific …

Plant diseases caused by pathogens pose significant threats to agricultural productivity and
food security worldwide. The traditional approach of relying on chemical pesticides for …

Plant disease diagnosis is one of the latest critical research areas of sustainable agriculture.
The evolution of computer vision-based systems in order to identify, classify and localize …

Combineingplant diseases identification and deep learning algorithm can achieve cost-
effective prevention effect, and has been widely used. However, the current field of …

Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …

Since the launch of the “Generative Pre-trained Transformer 3.5”, ChatGPT by Open,
artificial intelligence (AI) has been a main discussion topic in public. Especially large …

Agriculture is the golden thread that fastens all the sustainable development goals globally.
However, the massive population explosion and ecosystem degradation have pressurized …

In the field of plant pathology and related disciplines, epidemiology, disease management
and related aspects all depend on the measurement of plant diseases. A quantitative …

Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …