Tomato is one of the most popular crops worldwide. The success of a tomato crop is highly
dependent on the health of the plants. Nutrient deficiency surveillance is typically conducted …

Nutrients are vital in ensuring expected crop growth and yield quality. Accurate identification
of nutrient deficiencies in plants is essential to provide appropriate supplements of fertilizers …

Nutrients are essential for the plants as like humans. The deficiency of the nutrients can be
identified by trained specialists by analyzing the visual symptoms. It is a time-consuming …

A novel image analysis method for identifying nutrient deficiencies in plant based on its leaf
is proposed. First, the proposed method divides an input leaf image into small blocks …

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 …

Plants need adequate amount of nutrients for complete and healthy life-cycle. Sufficient
amount of six macronutrients like Nitrogen, Calcium, Phosphorous, Potassium, Sulphur …

Nutrient deficiency is a common condition that can spread and affect plants, if it is not
handled quickly. For this time, deficiency surveillance is carried on manually which needs …

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 …

This research work is initiated to create another alternative for the small farmers to identify
crop nutrient deficiency by using modern technology that is more efficient and more precise …

A novel approach of detecting nutrient deficients of plants based on leaf images has been
introduced. One approach involves breaking down the original leaf image into smaller …