Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

The growing global population and accompanying increase in food demand has put
pressure on agriculture to produce higher yields in the face of numerous challenges …

Plant diseases are the main factors affecting the agricultural production. At present,
improving the efficiency of plant disease identification in natural scenarios is a crucial issue …

In the last ten years, there has been an upsurge in focus on sustainable agribusiness as a
response to the bio-hazards posed by the effects of climate change, severe weather events …

Premise Quantitative plant traits play a crucial role in biological research. However,
traditional methods for measuring plant morphology are time consuming and have limited …

As tomatoes are the most consumed vegetable in the world, production should be increased
to fulfill the vast demand for this vegetable. Global warming, climate changes, and other …

Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …

In recent years, the domain of diagnosing plant afflictions has predominantly relied upon the
utilization of deep learning techniques for classifying images of diseased specimens; …

Application of artificial intelligence methods in agriculture is gaining research attention with
focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is …

Introduction In response to the current mainstream deep learning detection methods with a
large number of learned parameters and the complexity of apple leaf disease scenarios, the …