5 Result(s)
-
Chapter and Conference Paper
Identifying Multiple Diseases on a Single Citrus Leaf Using Deep Learning Techniques
Deep learning techniques for classifying images into multiple classes have made significant strides in the past few years. Nevertheless, allocating multiple classes to a single image, as seen in object detecti...
-
Chapter and Conference Paper
TLDC: Tomato Leaf Disease Classification Using Deep Learning and Image Segmentation
Deep learning (DL) has made significant progress in identifying and classifying plant diseases. The convolutional neural network (CNN) model was utilized to classify diseased and healthy tomato plant leaves fo...
-
Chapter and Conference Paper
Classification and Activation Map Visualization of Banana Diseases Using Deep Learning Models
Machine learning, especially deep learning (DL), comprises a modern, recent technique to process the images and data, with promising outcomes and enormous potential. DL is acquiring prevalence as it proves its...
-
Chapter and Conference Paper
Deep Learning Models for Crop Quality and Diseases Detection
Deep Learning is acquiring momentum in the agricultural field for crop disease detection using image processing due to its computational power. Several deep learning techniques have been implemented in differe...
-
Chapter and Conference Paper
A Metric Suite for Predicting Software Maintainability in Data Intensive Applications
Software maintainability is the vital aspect of software quality and defined as the ease with which modifications can be made once the software is delivered. Tracking the maintenance behaviour of a software pr...
