The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …

Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

Cardamom is a queen of spices. It is indigenously grown in the evergreen forests of
Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest …

Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …

More than two-thirds of human in the world view rice or wheat as their diet, rice and wheat
are grown in some regions of China and other countries in Asian. However, a variety of …

Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …

In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

Plant diseases are a severe cause of crop losses in the agriculture globally. Detection of
diseases in plants is difficult and challenging due to the lack of expert knowledge. Deep …

Crop disease diagnosis is of great significance to crop yield and agricultural production.
Deep learning methods have become the main research direction to solve the diagnosis of …