Advances in sugarcane breeding have contributed significantly to improvements in
agronomic traits and crop yield. However, the growing global demand for sugar and biofuel …

Research into large-scale crop monitoring has flourished due to increased accessibility to
satellite imagery. This review delves into previously unexplored and under-explored areas …

Plant diseases pose a major challenge in the agricultural sector, which affects plant
development and crop productivity. Sugarcane farming is a highly organized part of farming …

In the present situation, a lot of research has been directed towards the potency of plants.
These natural resources contain characteristics valuable in combat against a number of …

Sugarcane disease detection has been an active area of research for past decades, due to
the increasing demand and supply of the crop, the higher production level led to a hike in …

Plants diseases constitute a substantial threat for farmers given the high economic and
environmental impact of their treatment. Detecting possible pathogen threats in plants based …

Traditional models for predicting diseases in sugarcane crops show some drawbacks,
including expensive costs for getting the data input needed to execute the model, a lack of …

The Grassy Shoot Disease is a severe problem in sugarcane crops, affecting their
productivity and causing significant economic losses. The research aims to introduce a …

Abstract Develop a novel Krill Herd-based Convolutional Neural (KHbCN) scheme to
identify and diagnose crop diseases accurately. Using an improved krill herd fitness …

The rapid and accurate identification of sugarcane stem nodes in the complex natural
environment is essential for the development of intelligent sugarcane harvesters. However …