… 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 [? ]. …

… In this article, to predict and classify nutritional deficiencies with respect to three macronutrients…
The neural network requires all images used for training to be of a similar size. Hence, the …

… 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 …

… we used feed-forward Artificial Neural Network with supervised learning. The supervised
learning is machine learning algorithm that is used for training of ANN to recognize or classified …

… 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 …

… 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, …

… This paper mainly focuses on classification of plant diseases by different Deep Learning …
Neural Network (CNN) based on Inception-ResNet v2 is used to classify and predict the nutrient …

… plant nutrient deficiency using signal-based deep learning methods. A comparison of based
deep learning methods between RNN (Recurrent Neural Network… plant health classification …

… 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 …