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 …

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 …

Plants require both macronutrients and micronutrients to complete their life cycle. Nutrient
deficient plants exhibit certain symptoms and may provide poor yields. So continual …

Nutrient deficiency is major problem in the agricultural field and solutions available for this
problem are not sufficient. Concept of Neural Network and Deep Learning can be used to …

Rice is one of the most widely grown crop in China, Bangladesh, and India. Crop
productivity is eventually impacted by nutritional imbalances in plants, which affect their …

The plant producers have a hard time identifying nutritional inadequacies in their crops. The
capacity to recognize these comprehensive nutritional deficiencies could help regulate …

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 …

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 …

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 …