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 Techniques For Crop Nutrient Deficiency Detection—A Comprehensive Survey

KU Kala, M Nandhini, MNK Chakkravarthi… - Precision Agriculture …, 2024 - taylorfrancis.com
Agriculture is the backbone of the economic system in developing countries. Agriculture is
the science or practice of farming together with the cultivation of crops and the rearing of …

[PDF][PDF] Computer Vision Based Machine Learning and Deep Learning Approaches for Identification of Nutrient Deficiency in Crops: A Survey.

M Sudhakar, RM Priya - Nature Environment & Pollution …, 2023 - neptjournal.com
Agriculture is a significant industry that plays a major role in a country's sustainable
environment and economic development. The global population demands increased food …

Towards the Deployment of Deep Learning Solutions in Plant Nutrient Deficiency Identification and Classification

MV Appalanaidu, G Kumaravelan - 2023 5th International …, 2023 - ieeexplore.ieee.org
In recent years, identifying plant nutrient deficiency is considered a critical issue in smart
agriculture research. Identifying plant nutrient deficiency at an early stage will undoubtedly …

Machine Learning-Based Approach for Nutrient Deficiency Identification in Plant Leaf

PP Pawade, AS Alvi - Intelligent Systems: Proceedings of SCIS 2021, 2021 - Springer
Each nutrient in the plant typically indicates a certain deficiency on their leaves with
distinguished varied patterns which results in an adversarial side effect in the crop …

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 …

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 …

[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 …

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 …

Deep Learning Techniques to Detect Nutrient Deficiency in Rice Plants

S Supreetha, R Premalathamma… - 2024 International …, 2024 - ieeexplore.ieee.org
Rice is one of the most widely grown crop in China, Bangladesh, and India. Crop
productivity is eventually impacted by nutritional imbalances in plants, which affect their …