With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …

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 main goal of this paper is to review systematically the recent studies that have been
published and discussed WD prediction models. The literature analysis is performed based …

Grape black measles disease may be one of the best known, longest studied and most
destructive of all plant diseases, which ultimately reduces productivity and quality of …

Tomato leaf infections are a common threat to long-term tomato production that affects many
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …

Computer vision (CV) combined with a deep convolutional neural network (CNN) has
emerged as a reliable analytical method to effectively characterize and quantify high …

Cereal plant heads must be identified precisely and effectively in a range of agricultural
applications, including yield estimation, disease detection, and breeding. Traditional …

The wide variety of crops in the image of agricultural products and the confusion with the
surrounding environment information makes it difficult for traditional methods to extract crops …

The detection of Fusarium head blight (FHB), a destructive disease in wheat, can be
performed through digit imaging. To improve detection accuracy and overcome challenges …

In modern agricultural production, the severity of diseases is an important factor that directly
affects the yield and quality of plants. In order to effectively monitor and control the entire …