Deep Learning-Based Fertilizer Recommendation System Using Nutrient Deficiency Prediction

K Prathik, J Madhuri… - 2023 7th International …, 2023 - ieeexplore.ieee.org
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 …

[PDF][PDF] Deep Learning-Based Fertilizer Recommendation System using Nutrient Deficiency Prediction

J Madhuri, KJ Bhanushree - researchgate.net
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 …

Prediction and detection of nutrition deficiency using machine learning

AK Mishra, N Tripathi, A Gupta… - 2023 International …, 2023 - ieeexplore.ieee.org
The plant producers have a hard time identifying nutritional inadequacies in their crops. The
capacity to recognize these comprehensive nutritional deficiencies could help regulate …

Fertilizer Recommendation for Rice Crop based on NPK Nutrient deficiency using Deep Neural Networks and Random Forest Algorithm

T Bhavya, R Seggam, RK Jatoth - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Nutrient deficiency has a noteworthy impact on agriculture which results in reduced plant
quality in turn reduced crop yield. A plant can have Multiple deficiencies at the same time so …

Deep Learning-Based Image Analysis for Detecting Nutrient Deficiencies of Tomato Plants

KCN Jayasiri, S Chandrasiri… - … on Advancements in …, 2023 - ieeexplore.ieee.org
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 …

[PDF][PDF] Plant nutrient deficiency detection using deep convolutional neural network

LA Wulandhari, AAS Gunawan, A Qurania, P Harsani… - ICIC Express Lett, 2019 - icicel.org
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 …

Nutrient Deficiency Detection in Leaves using Deep Learning

SS Manhas, R Randive, S Sawant… - 2021 International …, 2021 - ieeexplore.ieee.org
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 …

Deep Neural Networks for Classifying Nutrient Deficiencies in Rice Plants Using Leaf Images

S Kolhar, J Jagtap, R Shastri - International Journal of …, 2024 - journal.uob.edu.bh
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 …

Plant Disease Severity Detection and Fertilizer Recommendation using Deep Learning Techniques

B Sudhir, DC Teja, K Sai, P Sridhar… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
In India, the agriculture industry plays a significant role in the economy and employs a
sizable section of the workforce. The demand for food is increasing and analysis of …

A comparative study of deep CNN in forecasting and classifying the macronutrient deficiencies on development of tomato plant

TT Tran, JW Choi, TTH Le, JW Kim - Applied Sciences, 2019 - mdpi.com
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 …