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

Nutritional deficiencies in plant lead to stunted growth in plants, which can result in low crop
productivity. Currently machine learning models are employed for detecting abnormalities in …

Nutrient deficiency often occurs in rice plants, thus affecting the level of production and
quality of rice. Nutrient deficiency, in general, can be seen from the color and shape of sick …

Agriculture plays a important role in the Indian economy. 70% of rural population is
dependent on agriculture as well as 17% of total GDP is contributed from Agriculture sector …

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

A balanced level of nutrients is very essential for healthy growth of plants. Deficiency of
nutrients inhibits the growth of plants. It is needed to detect the infertile plants for the …

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 …

At various stages of development, including flowering and fruit production, plants need a
variety of minerals and nutrients to grow. The phenotype, quality, and yield of crops are all …

Prediction of the nutrient deficiency range and control of it through application of an
appropriate amount of fertiliser at all growth stages is critical to achieving a qualitative and …