One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

Tomato plants are vulnerable to a broad number of diseases, each of which has the
potential to cause significant damage. Diseases that affect crops substantially negatively …

Surface Defect Detection (SDD) is a significant research content in Industry 4.0 field. In the
real complex industrial environment, SDD is often faced with many challenges, such as …

Tomatoes are the most widely grown vegetable, used in a wide variety of dishes around the
world. After potatoes and sweet potatoes, it is the third most extensively cultivated crop in the …

The current paper explores the close interaction between technological advancements and
the field of agriculture through a project focused on plant disease detection using Deep …

There is an increasing demand for efficient and precise plant disease detection methods that
can quickly identify disease outbreaks. For this, researchers have developed various …

Tomato leaf diseases are a big issue for producers, and finding a single method to combat
them is tough. Deep learning techniques, notably convolutional neural networks (CNNs) …

In agriculture, crops are severely affected by illnesses, which reduce their production every
year. The detection of plant diseases during their initial stages is critical and thus needs to …

Tomato cultivation plays a vital role in global agriculture, but the health of tomato plants is
frequently compromised by various leaf diseases. Timely disease detection is crucial for …

The analysis presented here summarizes a thorough assessment of a classification model's
efficacy in identifying several plant diseases, highlighting accuracy, recall, and F1-s across …