INTRODUCTION: Plant diseases pose a significant threat to agriculture, causing substantial
crop and financial losses. Modern technologies enable precise monitoring of plant health …

Convolutional Neural Networks (CNNs) have opened up new possibilities in a variety of
fields, including plant pathology. Through image analysis, this study aims to take advantage …

The most extensively utilized and comprehensive common-sense cognitive engine in the
ecosphere is artificial intelligence (AI). The cloud SaaS model and the concept of AI …

In the field of agriculture being able to identify plant diseases is extremely important as it can
lead to crop loss and negatively impact food security. Detecting these diseases early on is …

Effective plant disease detection is paramount for ensuring global food security and
sustainable agricultural practices. This article presents a comprehensive exploration of …

Crop infection in terms of bacteria, fungus and other viruses is an unrelenting issue and loos
of food due to this is a key challenge faced by farmers for many decades. Proper …

Significant risk to agricultural sustainability is posed by the rapid spread of plant leaf
diseases. Effective management of leaf disease depends on early identification. Early …

In today's world AI is becoming more popular, to improve the quality, and result of their
product. So, we have also taken some groundbreaking step in the realm of plant disease …

Plant and crop cultivation rates are steadily growing over the world as human and animal
demands rise. Plant disease, on the other hand, is a persistent problem for smallholder …

The agriculture industry is a significant sector in farming, and it is possible to automate plant
processes based on diseases. In order to monitor the agricultural environment effectively, it …