This paper delves into the realm of artificial intelligence, where an array of deep learning
techniques has proven effective in automating crop leaf disease identification and …

This review explores the application of deep learning in detecting leaf diseases,
emphasizing its significance in addressing challenges faced by agriculture due to these …

Plant leaf disease identification is a crucial aspect of modern agriculture to enable early
disease detection and prevention. Deep learning approaches have demonstrated amazing …

One of the most serious threats to global food security is plant diseases compromising
agricultural productivity and threatening the livelihoods of millions. These diseases can …

In this study, we propose a machine learning (ML) based method for the early detection of
plant leaf diseases. Plant diseases are a major concern in agriculture, impacting crop yield …

* Correspondence: mrkirchoffs@ gmail. com Abstract: Machine learning systems use
different algorithms to detect the diseases affecting the plant leaves. Nevertheless, selecting …

The image processing technique is a method useful in agricultural processes for enhancing
accuracy and uniformity of processes in farming while decreasing farmers' manual …

The demand for rapid and precise plant disease diagnostics has increased with interest in
environmentally friendly farming techniques. Deep learning algorithms are employed in …

The demand for rapid and precise plant disease diagnostics has increased with interest in
environmentally friendly farming techniques. Deep learning algorithms are employed in …

Agricultural development is not only crucial for human existence; it is also a major
commercial field for many countries, regardless of their state of development. Early detection …