Convolutional neural networks (CNNs) are deep learning algorithms that are particularly
useful for analyzing and interpreting images. This chapter introduces fundamental concepts …

Deep learning (DL) constitutes a modern technique for image processing, with large
potential. Having been successfully applied in various areas, it has recently also entered the …

The number of people living in the world is continuously rising, which means that there must
be an increase in crop production. The estimation of agricultural yields as well as the …

Computer vision is the area through which machines “see”. Instead of eyes, it uses cameras
to locate, monitor, and quantify the targets for further image processing. In precision …

Deep learning techniques have just recently been used to picture identification.
Convolutional neural networks, a sort of deep learning technology, have shown outstanding …

Satellite system advances, remote sensing and drone technology are continuing. These
progresses produce high-quality images that need efficient processing for smart agricultural …

Effective weed control, using either mechanical or chemical means, relies on knowledge of
the crop and weed plant occurrences in the field. This knowledge can be obtained …

This thesis focuses on the problem of recognizing objects in agricultural environments
through computer vision. This problem has been studied for many decades. However, few …

The agricultural sector is one of the most critical industries in the world, especially in India. It
is considered the primary source of income for more than 60% of Indians. Like any other …

In recent years, the agricultural sector has undergone a revolutionary shift toward “smart
farming”, integrating advanced technologies to strengthen crop health and productivity …