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 …

Plant diseases are assumed to be one of the primary causes regulating food manufacturing
and reducing deficits in crop yield, and it is crucial that plant diseases have rapid spotting …

This paper introduces a novel deep learning model for grape disease detection that
integrates multimodal data and parallel heterogeneous activation functions, significantly …

It is known that accurately identifying, early and timely treatment and elimination of the plant
diseases is essential for crop protection and healthy crop growth. In traditional or …

The constant emission of polluting gases is causing an urgent need for timely detection of
harmful gas mixtures in the atmosphere. A method and algorithm of the determining spectral …

The expansion of useful technological tools has helped the agricultural sector become more
effective and productive. This current study uses deep transfer ensemble learning strategies …

In order to ensure grape output and quality, it is necessary to identify grape leaf diseases
quickly and accurately. By merging deep features from convolutional neural networks …

The use of sensors and various technologies based on machine learning is called “smart
agriculture” and has now become an agricultural trend. According to a recent study, foliar …

Global warming and lack of immunity in crops have recently resulted in a significant increase
in the spread of agricultural diseases. This leads to large-scale crop destruction, less …

Agriculturalists often struggle to identify diseases on leaves accurately. They traditionally
rely on visual inspection, but this method is not entirely reliable. To address this issue, a user …