Research graph
References from AshGdNutDefAM: Machine-learning-based multi-feature framework for nutrient deficiency detection and classification in Ash gourd Plant. Local targets link to admitted publications; unresolved targets remain external evidence.
Rapid economic growth in India: technical change in agriculture, irrigation and food security
10.1177/0019466216652530 · 2016 · External reference
Nutrient deficiency disorders in vegetables and their management
10.1007/0-306-48575-3_5 · 2004 · External reference
Symptoms of nutrient deficiencies on cucumbers
10.9734/ijpss/2015/20243 · 2015 · External reference
Identification of nutrient deficiency stress for iron, zinc and manganese in baby spinach using computer vision
10.1016/j.atech.2025.101524 · 2025 · External reference
Micronutrient management in horticultural crops
2018 · External reference
Ash gourd and its applications in the food, pharmacological and biomedical industries
10.1080/19315260.2019.1699222 · 2021 · External reference
Macronutrient deficiency in cucumber plants: impacts in nutrition, growth and symptoms
10.1080/01904167.2021.1921205 · 2021 · External reference
Iron deficiency affects nitrogen metabolism in cucumber (Cucumis sativus L.) plants
10.1186/1471-2229-12-189 · 2012 · External reference
Magnesium deficiency reduced the yield and seed germination in wax gourd by affecting the carbohydrate translocation
10.3389/fpls.2020.00797 · 2020 · External reference
Precision agriculture technologies for soil site-specific nutrient management: a comprehensive review
2025 · External reference
Phosphorus-deficiency stress in cucumber (Cucumis sativus L.) plants: early detection based on chosen physiological parameters and statistical analyses
10.32615/ps.2024.005 · 2024 · External reference
Image processing-based detection of diseases and nutrient deficiencies in plants
2021 · External reference
Methods for rapid testing of plant and soil nutrients
10.1007/978-3-319-58679-3_1 · 2017 · External reference
Computer vision based machine learning and deep learning approaches for identification of nutrient deficiency in crops: a survey
10.46488/nept.2023.v22i03.025 · 2023 · External reference
Nitrogen estimation for wheat using UAV-based and satellite multispectral imagery, topographic metrics, leaf area index, plant height, soil moisture, and machine learning methods
10.3390/nitrogen3010001 · 2021 · External reference
Deep learning for plant stress detection: a comprehensive review of technologies, challenges, and future directions
10.1016/j.compag.2024.109734 · 2025 · External reference
MTJNet: multi-task joint learning network for advancing medicinal plant and leaf classification
10.1016/j.knosys.2024.112147 · 2024 · External reference
Machine learning in nutrient management: a review
2023 · External reference
Identification of nutrient deficiency in plants by artificial intelligence
10.1007/s11738-022-03363-0 · 2022 · External reference
Simultaneous and nondestructive diagnostics of nitrogen/magnesium/potassium-deficient cucumber leaf based on chlorophyll density distribution features
10.1016/j.biosystemseng.2021.11.001 · 2021 · External reference
Crop nutrition and computer vision technology
10.1007/s11277-020-07901-2 · 2021 · External reference
Detection of nutrition deficiencies in plants using proximal images and machine learning: a review
10.1016/j.compag.2019.04.035 · 2019 · External reference
Feature aggregation for nutrient deficiency identification in chili based on machine learning
2023 · External reference
Smart detection of plant nutrient deficiencies using machine learning and image fusion
2025 · External reference
Plant leaf classification using the multiscale entropy of curvature and feature aggregation
10.1016/j.ecoinf.2025.103373 · 2025 · External reference
Green Insight: a novel approach to detecting and classifying macro nutrient deficiencies in paddy leaves
2023 · External reference
Classification nutrient deficiency of maize plant leaf using machine learning algorithm
2025 · External reference
Optimal transfer learning based nutrient deficiency classification model in ridge gourd (Luffa acutangula)
10.1038/s41598-023-41120-6 · 2023 · External reference
Nutrispace: a novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency
10.1016/j.compag.2024.109296 · 2024 · External reference
Precision agriculture based on convolutional neural network in rice production nutrient management using machine learning genetic algorithm
10.1016/j.engappai.2023.107682 · 2024 · External reference
Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images
10.1016/j.knosys.2025.113400 · 2025 · External reference
Design of an intelligent hydroponics system to identify macronutrient deficiencies in chili
2022 · External reference
PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
2024 · External reference
Classification of nutrient deficiencies in rice crop using denseNet-BC
2022 · External reference
Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images
10.1016/j.knosys.2025.113400 · 2025 · External reference
Nutrient deficiency disorders in vegetables and their management
10.1007/0-306-48575-3_5 · ExternalCitation · doi-reference
Methods for rapid testing of plant and soil nutrients
10.1007/978-3-319-58679-3_1 · ExternalCitation · doi-reference
Crop nutrition and computer vision technology
10.1007/s11277-020-07901-2 · ExternalCitation · doi-reference
Identification of nutrient deficiency in plants by artificial intelligence
10.1007/s11738-022-03363-0 · ExternalCitation · doi-reference
Identification of nutrient deficiency stress for iron, zinc and manganese in baby spinach using computer vision
10.1016/j.atech.2025.101524 · ExternalCitation · doi-reference
Simultaneous and nondestructive diagnostics of nitrogen/magnesium/potassium-deficient cucumber leaf based on chlorophyll density distribution features
10.1016/j.biosystemseng.2021.11.001 · ExternalCitation · doi-reference
Detection of nutrition deficiencies in plants using proximal images and machine learning: a review
10.1016/j.compag.2019.04.035 · ExternalCitation · doi-reference
Nutrispace: a novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency
10.1016/j.compag.2024.109296 · ExternalCitation · doi-reference
Deep learning for plant stress detection: a comprehensive review of technologies, challenges, and future directions
10.1016/j.compag.2024.109734 · ExternalCitation · doi-reference
Plant leaf classification using the multiscale entropy of curvature and feature aggregation
10.1016/j.ecoinf.2025.103373 · ExternalCitation · doi-reference
Precision agriculture based on convolutional neural network in rice production nutrient management using machine learning genetic algorithm
10.1016/j.engappai.2023.107682 · ExternalCitation · doi-reference
MTJNet: multi-task joint learning network for advancing medicinal plant and leaf classification
10.1016/j.knosys.2024.112147 · ExternalCitation · doi-reference
Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images
10.1016/j.knosys.2025.113400 · ExternalCitation · doi-reference
Optimal transfer learning based nutrient deficiency classification model in ridge gourd (Luffa acutangula)
10.1038/s41598-023-41120-6 · ExternalCitation · doi-reference
Macronutrient deficiency in cucumber plants: impacts in nutrition, growth and symptoms
10.1080/01904167.2021.1921205 · ExternalCitation · doi-reference
Ash gourd and its applications in the food, pharmacological and biomedical industries
10.1080/19315260.2019.1699222 · ExternalCitation · doi-reference
Rapid economic growth in India: technical change in agriculture, irrigation and food security
10.1177/0019466216652530 · ExternalCitation · doi-reference
Iron deficiency affects nitrogen metabolism in cucumber (Cucumis sativus L.) plants
10.1186/1471-2229-12-189 · ExternalCitation · doi-reference
Phosphorus-deficiency stress in cucumber (Cucumis sativus L.) plants: early detection based on chosen physiological parameters and statistical analyses
10.32615/ps.2024.005 · ExternalCitation · doi-reference
Magnesium deficiency reduced the yield and seed germination in wax gourd by affecting the carbohydrate translocation
10.3389/fpls.2020.00797 · ExternalCitation · doi-reference
Nitrogen estimation for wheat using UAV-based and satellite multispectral imagery, topographic metrics, leaf area index, plant height, soil moisture, and machine learning methods
10.3390/nitrogen3010001 · ExternalCitation · doi-reference
Computer vision based machine learning and deep learning approaches for identification of nutrient deficiency in crops: a survey
10.46488/nept.2023.v22i03.025 · ExternalCitation · doi-reference
Symptoms of nutrient deficiencies on cucumbers
10.9734/ijpss/2015/20243 · ExternalCitation · doi-reference
