Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

Different kinds of techniques are evaluated and analyzed for various classification models
for the detection of diseases of citrus fruits. This paper aims to systematically review the …

Citrus fruit diseases have an egregious impact on both the quality and quantity of the citrus
fruit production and market. Automatic detection of severity is essential for the high-quality …

In recent decades, deep-learning dependent fruit disease detection and classification
techniques have evinced outstanding results in technologically advanced horticulture …

Wheat stripe rust poses a marked threat to global wheat production. Accurate and effective
disease severity assessments are crucial for disease resistance breeding and timely …

Tea leaf diseases seriously affect the yield and quality of tea. Early warning and severity
estimation of the diseases can be used to guide tea farmers to spray pesticide reasonably …

Many applications of plant pathology had been enabled by the evolution of artificial
intelligence (AI). For instance, many researchers had used pre-trained convolutional neural …

Objectives: To employ a deep learning technique that would sort the fruits into normal and
abnormal based on the features such as fruit colour, number of fruit spots, and shape of the …

Artificial Intelligence (AI) is a relatively new branch of information technology. It is one of the
pillars of many industrial innovations, as well as a critical component in supporting and …

A significant majority of the population in India makes their living through agriculture.
Different illnesses that develop due to changing weather patterns and are caused by …