Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

Plant diseases can cause a considerable reduction in the quality and number of agricultural
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …

Abstract Convolutional Neural Networks (CNN) have demonstrated their capabilities on the
agronomical field, especially for plant visual symptoms assessment. As these models grow …

In this paper, we address a comprehensive study on disease recognition and classification
of plant leafs using image processing methods. The traditional manual visual quality …

This paper presents a study on the image processing techniques used to identify and
classify fungal disease symptoms affected on different agriculture/horticulture crops …

Most convolutional neural network (CNN) models have various difficulties in identifying crop
diseases owing to morphological and physiological changes in crop tissues, and cells …

An expected 70% of Indian economy relies upon agribusiness. Since there is developing
Indian population, which is increasingly dependent on the agricultural yield, generation of …

Plant disease analysis is one of the critical tasks in the field of agriculture. Automatic
identification and classification of plant diseases can be supportive to agriculture yield …

The combination of internet of things (IoT) with environmental sensing and image
processing device has opened a new era to monitor the health of plants. Classification of …

This paper presents a study on the image processing techniques used to identify and
classify fungal disease symptoms affected on different agriculture/horticulture crops. Many …