Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …

The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …

The advancement of IT technology, particularly the emergence of deep learning, has
resulted in significant changes in various industries, including agriculture. Agricultural …

In response to the challenges posed by sugarcane diseases, this research introduces a
Sugarcane Disease Prediction System, employing deep learning through a Convolutional …

Abstract Late Leaf Spot [LLS], caused by various pathogens such as fungi and bacteria, is a
significant foliar disease that affects groundnut (Arachis hypogaea) plants, impacting both …

The foundation of computer science is made up of data structures and algorithms (DSA),
which are necessary for creating effective software solutions and resolving challenging …