Featured Application In this paper, Deep Learning has been used to classify, predict early
nutrient deficiencies during the growth of tomato plant. This study can be applied to …

This paper investigates the use of various deep convolutional neural networks (CNNs) with
transfer learning to identify nutrient deficiencies from a leaf image. Experiments were …

Modern fertilization includes identifying nutritional deficits in plant leaves since soils
frequently fall short of providing growing crops with all the nutrients the earth needs. The …

Deep learning is being used a lot to develop a quick, automatic and reliable means for
image identification and classification in many domains. Using Deep learning techniques in …

Tomato is grown in outdoor fields, greenhouses, and net houses in almost every country
around the world. However, unfortunately, many diseases on these tomato plants have …

Corn, wheat, and rice are vital as staple foods, affecting our economy, culture, health, and
environment. Our research focuses on using a convolutional neural network (CNN) to detect …

Plant diseases can sometimes be so bad that there is no grain harvest at all. Consequently,
there is a great need for automatic plant disease identification and diagnosis in the realm of …

In field of modern agriculture, artificial intelligence plays a major role in crop protection. Plant
diseases have always been a cause of great concern to plant growth and crop cultivation …

Agriculture is a significant industry that plays a major role in a country's sustainable
environment and economic development. The global population demands increased food …

This research addresses the imperative task of plant disease identification, specifically
focusing on leaves. The approach involves a meticulous methodology encompassing image …