… In this paper, the study detects the nutritional deficiencies from these leaves using Internet
of … Basic or essential plant nutrients are classified into micronutrients and macronutrients [? ]. …

… The color and shape of a leaf often used for diagnosing the nutritional deficiencies in plants
and classification of these properties often pose serious problem. … Recurrent neural network …

… Artificial neural network is one of the most important tool in … the uses of ANN in recognition
of nutrient deficiency of plants. In … algorithm used for training of an ANN to recognize or classify …

… plant parts. In this paper, we therefore develop a new technique based on a Recurrent Neural
Network (… extract relevant features for disease classification. We show experimentally that …

… to classify the oilseed rape crops according to their nutrient status… and early detection of plant
nutrient deficiency. However, … The LSTM is a special kind of recurrent neural network (RNN) …

… detection of nutrient deficiencies, we used RGB images of entire plants in a sugar beet field
with nutrient deficiency plots … [29] classified three nutrient deficiencies for 571 tomato images …

… system that could provide additional nutrients. In the case of … cultivates and produces fish
and crops using water as a key … using hybrid classification tree-artificial neural network. Int. J. …

… This paper presents deep artificial neural network and deep learning-… plant dataset based
on different stages. We present the classification of various diseases and nutrient deficiencies, …

… Stress due to nutrients deficiency in plants can reduce the … based plant phenotyping approach
for stress classification in plant … convolutional neural network (DCNN) for classification and …

… research using image processing techniques to determine the type of nutrient deficiency that
occurs on the plant … of this algorithm will be done to classify nutrient deficiency of maize leaf. …