The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Accurate and fast tomato plant disease identification is significant to enhance its sustainable
agricultural productivity. In the conventional technique, human experts in the field of …

The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …

Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …

Agriculture is the primary source of livelihood for about 70% of the rural population in India.
The crop variety cultivated in India is very diverse. There are more than 500 crop varieties …

Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …

Agriculture is an important sector that plays an essential role in the economic development
of a country. Each year farmers face numerous challenges in producing good quality crops …

In ensemble methods, multiple base classifiers with different performances are used to
increase classification accuracy. This study proposes a novel weighted majority voting …

Tomatoes are a crop of significant economic importance, and disease during growth poses a
substantial threat to yield and quality. In this paper, we propose IBSA_Net, a tomato leaf …

Abstract Analysis of the symptoms of rose leaves can identify up to 15 different diseases.
This research aims to develop Convolutional Neural Network models for classifying the …