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 …

Agriculture plays a crucial part in the overall growth of the country. Smart agriculture
provides today's farmers a help in decision making. Farmers or professionals typically …

Objectives: To detect and identify diseases affecting pomegranate leaves using image
processing and deep learning techniques. Method: A dataset of pomegranate leaf images …

In this study, we trained a convolutional neural network to detect disease in tomato leaves
and then examined the effect of hyperparameters and layers used when training a …

This study applies a Convolutional Neural Network (CNN) model along with Support Vector
Machines (SVM) to categorize the degrees of anthracnose disease severity. Various crops …

Pomegranate fruit bacterial blight disease is a serious threat to pomegranate orchards
worldwide, causing significant economic losses. Accurate and timely detection of this …

India is one of the countries where agriculture is the primary Source of income.
Pomegranate is one of India's most important commercial fruit crops. Pomegranate is a well …

This paper presents a review of various Pomegranate disease detection techniques and
provides future directions for the research in this field. The variation in the climatic …

Every year, many farmers have suffered significant losses as a result of the mangosteen
illness. Diseases are a big concern for all farmers, particularly fruit growers. Mangosteen fruit …

In this report, we describe the process of creating a model in which we can classify various
diseases on tomato leaves using a convolutional neural network. We examine the effect of …