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 …

Nitrogen (N) concentration is a significant parameter to check the status of health in rice
crop. Nitrogen (N) plays an essential role in the growth and productivity of rice plant. This …

Crops depend on a lot of parameters to stay healthy, providing them with only sunlight and
water does not guarantee a healthy crop and a subsequent healthy yield. Nitrogen …

In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …

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 …

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 …

The current agriculture system of the world is facing a massive challenge to agricultural
productivity. Agricultural productivity must be increased to maintain enough food. Due to the …

Nutrient deficiency is one of the leading causes of the decline in groundnut crop yield. Also,
it's very difficult to the farmers to identify the deficient of specific nutrient in the plant just be …

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 …

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 …