This article describes chemical and physical parameters, including their role in the storage,
trade, and processing of potatoes, as well as their nutritional properties and health benefits …

There has been a lot of focus on agricultural image dispensation research in the previous
years. Computers employ image processing procedures to do picture analysis. Recent …

With the recent development of smart farms, researchers are very interested in such fields. In
particular, the field of disease diagnosis is the most important factor. Disease diagnosis …

Since agriculture employs 47% of the population and contributes about 19.9% of the GDP in
Bangladesh, disease detection and management are critical for farmers in order to harvest a …

The advent of deep learning has paved way for more efficient computer vision applications.
In agricultural crop monitoring with technology driven approaches, it is indispensable to …

Agriculture is one of the main factors that decides the growth of any country. India is an
agricultural country which has the majority of the population dependent on agriculture as …

Agriculture is one of the main important sectors for livelihood, as near about 55–60% people
directly and indirectly depends on it. The early stage of crop disease detection and …

In current times, diseases in the crops are a leading cause of the decrease in agricultural
yield. This affects the agricultural economy badly. The early detection of the diseases is …

This study introduces a unique method for disease identification in citrus plants by
combining convolutional neural network (CNN) and learning vector quantization (LVQ) …

Economy depends upon agricultural productivity. Consequently plant disease identification
is very important, because having disease is common. It has significant effects on plants if …