Classification of Nutrient Deficiencies in Plants Using Recurrent Neural Network

S Ramasamy, V Chandrasekar… - 2022 IEEE Fourth …, 2022 - ieeexplore.ieee.org
The symptoms associated with deficiencies in plants tends to appear often on the leaves.
The color and shape of a leaf often used for diagnosing the nutritional deficiencies in plants …

Soil Nutrient Deficiency Detection of Lime Trees using Signal-based Deep Learning

RFR Suleiman, MK Riduwan… - 2022 International …, 2022 - ieeexplore.ieee.org
This research work is initiated to create another alternative for the small farmers to identify
crop nutrient deficiency by using modern technology that is more efficient and more precise …

[PDF][PDF] Using transfer learning for nutrient deficiency prediction and classification in tomato plant

V Kusanur, VS Chakravarthi - Int. J. Adv. Comput. Sci. Appl, 2021 - academia.edu
Plants need nutrients to develop normally. The essential nutrients like carbon, oxygen, and
hydrogen are obtained from sunlight, air, and water to prepare food and plant growth. For …

Plant Nutrient Deficiency Detection and Classification-A Review

J Aiswarya, K Mariammal… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Plants require both macronutrients and micronutrients to complete their life cycle. Nutrient
deficient plants exhibit certain symptoms and may provide poor yields. So continual …

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 …

Health Classification System of Romaine Lettuce Plants in Hydroponic Setup Using Convolutional Neural Networks (CNN)

JMH Desiderio, AJF Tenorio… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Hydroponics farming setup has many challenges that target the health condition of the
plants, specifically romaine lettuce plants. One of the critical elements for their excellent …

Prediction of Nitrogen Deficiency in Paddy Leaves Using Convolutional Neural Network Model

SN Bhagirath, V Bhatnagar, L Raja - … Papers from ADCIS 2022, Volume 2, 2023 - Springer
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 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 …

Identification of plant nutrient deficiencies using convolutional neural networks

U Watchareeruetai, P Noinongyao… - 2018 International …, 2018 - ieeexplore.ieee.org
A novel image analysis method for identifying nutrient deficiencies in plant based on its leaf
is proposed. First, the proposed method divides an input leaf image into small blocks …

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 …