journal article Open Access Sep 01, 2025

AgriCure: A web application based layered augmentation-enhanced YOLOv8 for disease and nutrient deficiency detection in bitter gourd leaves

View at Publisher Save 10.1016/j.cpb.2025.100517
Topics

No keywords indexed for this article. Browse by subject →

References
68
[1]
Jat "Antioxidant activities, dietary nutrients, and yield potential of bitter gourd (Momordica charantia L.) lines in diverse growing environments" Front. Nutr. (2024) 10.3389/fnut.2024.1393476
[2]
Abbas "Harnessing the potential of bitter gourd seeds for food and nutrition- a comprehensive review" Appl. Food Res. (2024) 10.1016/j.afres.2024.100508
[3]
Ghimire "Efficacy of different organic and inorganic nutrient sources on the growth and yield of bitter gourd (Momordica charantia L.)" Heliyon (2023)
[4]
Naeem M., Ansari A.A., Gill S.S., 2017. Essential Plant Nutrients: Uptake, use efficiency, and management. ISBN: 978-3-319-58840-7, Springer International Publishing AG 2017, USA, pp. XVI, 569. https://doi.org/10.1007/978-3-319-58841-4. 10.1007/978-3-319-58841-4
[5]
Micronutrients and their effects on Horticultural crop quality, productivity and sustainability

Nazir Ahmed, Baige Zhang, Zaid Chachar et al.

Scientia Horticulturae 2024 10.1016/j.scienta.2023.112512
[6]
Chen "Nitrogen forms and nitrogen deficiency regulate theanine accumulation patterns in tea plants (Camellia sinensis) during winter dormancy" Horticulturae (2025) 10.3390/horticulturae11040444
[7]
Begum, S.S., Rishika, T., Vijayender, R., Priya, V., M.Chiranjeevi, M.C., Chowdary, C., & Jahnavi, Y.. (2023).Deep Learning-based Nutrient Deficiency symptoms in plant leaves using Digital Images. https://doi.org/10.1109/icacic59454.2023.10435129. 10.1109/icacic59454.2023.10435129
[8]
Ashraf "Role of different levels of nitrogen, phosphorus and potassium on growth, yield and quality attributes of bitter gourd (Momordica charantia L.)" Food Sci. Technol. Int. (2019) 10.13189/fst.2019.070202
[9]
Phosphorus Plays Key Roles in Regulating Plants’ Physiological Responses to Abiotic Stresses

Fahad Khan, Abu Bakar Siddique, Sergey Shabala et al.

Plants 2023 10.3390/plants12152861
[10]
Hu "Molecular mechanisms underlying plant responses to low phosphate stress and potential applications in crop improvement" N. Crops (2025)
[11]
Carmona, V., Costa, L.G., & Filho, A. (2015). Symptoms of Nutrient Deficiencies on Cucumbers.International Journal of Plant and Soil Science. https://doi.org/10.9734/IJPSS/2015/20243. 10.9734/ijpss/2015/20243
[12]
Rhee, J.Y., Rhee, J.Y., Chung, G.C., Katsuhara, M., & Ahn, S.J. (2011). Effect of nutrient deficiencies on the water transport properties in figleaf gourd plants.Horticulture Environment and Biotechnology. https://doi.org/10.1007/S13580-011-0046-3. 10.1007/s13580-011-0046-3
[13]
Potassium: A Vital Regulator of Plant Responses and Tolerance to Abiotic Stresses

Mirza Hasanuzzaman, M. Bhuyan, Kamrun Nahar et al.

Agronomy 2018 10.3390/agronomy8030031
[14]
de Bang "The molecular–physiological functions ofmineral macronutrients and their consequencesfor deficiency symptoms in plants" N. Phytol. (2021) 10.1111/nph.17074
[15]
Bharati "Response of bitter gourd (Momordica charantia L.) to foliar feeding of micronutrient on the growth, yield and quality" Int. J. Curr. Microbiol. Appl. Sci. (2018) 10.20546/ijcmas.2018.702.284
[16]
Yadav "Impact of foliar application of micronutrients on growth, yield and its attributes of bitter gourd [Momordica charantia] cv. F1 LHB – Swathi" Int. J. Chem. Stud. (2020)
[17]
Vala "Effect of zinc, iron and boron on yield of bitter gourd (Momordica charantia L.) cv" PUSA Vishesh. Int. J. Agric. Sci. (2014)
[18]
Park, J.W., Melgar, J.C., & Kunta, M. (2019). Plant Nutritional Deficiency and Its Impact on Crop Production. https://doi.org/10.1007/978-3-030-27165-7_12. 10.1007/978-3-030-27165-7_12
[19]
K.P, J., M., & J, B.K. (2023). Deep Learning-Based Fertilizer Recommendation System Using Nutrient Deficiency Prediction. https://doi.org/10.1109/csitss60515.2023.10334122. 10.1109/csitss60515.2023.10334122
[20]
Jeevanantham, R., Vignesh, D., & Abdul, R.Z.A.B. (2023).Deep Learning Based Plant Diseases Monitoring and Detection System. https://doi.org/10.1109/ICSCDS56580.2023.10104648. 10.1109/icscds56580.2023.10104648
[21]
PND-Net: plant nutrition deficiency and disease classification using graph convolutional network

Asish Bera, Debotosh Bhattacharjee, Ondrej Krejcar

Scientific Reports 10.1038/s41598-024-66543-7
[22]
Aabidi "A model proposal for enhancing leaf disease detection using Convolutional Neural Networks (CNN)" Int. J. Online Eng. (Ijoe (2023) 10.3991/ijoe.v19i12.40329
[23]
Waheed, H., Zafar, N., Akram, W., Manzoor, A., Gani, A., & Islam, S. (2022). Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingiberaceae” Crop.Agriculture. https://doi.org/10.3390/agriculture12060742. 10.3390/agriculture12060742
[24]
Balamurugan, M., Srividhya, N., Indhumathi, G., Arul, V., S, S.G., & Kalaiarasi, K. (2024).Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture. https://doi.org/10.1109/icdsis61070.2024.10594188. 10.1109/icdsis61070.2024.10594188
[25]
Kumar, A.K., Babu, G.H.D., & Rajeswari, P. (2021).Plant Health Report Through Advanced Convolution Neural Network Methodology. https://doi.org/10.1007/978-981-16-0171-2_10. 10.1007/978-981-16-0171-2_10
[26]
Sharma, A., & Kumar, R. (2024).Crop Disease Detection in Precision Agriculture: Leveraging Deep Learning for PNG Image Analysis. https://doi.org/10.22541/au.172453109.95803149/v1. 10.22541/au.172453109.95803149/v1
[27]
Narmatha.R., Siva R., Sarika S., Kanishka, Luvika. (2024). International Research Journal Of Modernization In Engineering Technology And Science. https://doi.org/10.56726/irjmets61021. 10.56726/irjmets61021
[28]
Chavda "Detection and classification on plant disease using deep learning techniques" Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. (2024)
[29]
Amritavarshini, S., Ganesh, K.S., Arvind, M., Teja, K.R., & Vijayan, D. (2024).Image-Based Plant Leaf Disease Detection using Deep Learning. https://doi.org/10.1109/iconscept61884.2024.10627918. 10.1109/iconscept61884.2024.10627918
[30]
Agarwal, M., Gill, K.S., Upadhyay, D., & Devliyal, S. (2024).From Pixels to Insights: Harnessing Deep Learning for Accurate Plant Pathology Diagnosis. https://doi.org/10.1109/iscs61804.2024.10581100. 10.1109/iscs61804.2024.10581100
[31]
Tanksale, R., & Mane, S.B. (2024).Comparative Analysis of Plant Disease Detection Models on RISC-Based Systems: AMiniTensorflow Approach. https://doi.org/10.21203/rs.3.rs-4253469/v1. 10.21203/rs.3.rs-4253469/v1
[32]
Kumar, M., Arora, A.S., Deb, A.K., & Yadav, A.L. (2024).Deep Learning for Accurate Plant Disease Classification Using ResNet50: A Comprehensive Approach. https://doi.org/10.1109/iccica60014.2024.10584860. 10.1109/iccica60014.2024.10584860
[33]
Pamplona "Deep Learning in Agritech: Exploring Techniques and Architectures for Plant Disease Detection" J. Electr. Syst. (2024)
[34]
Hanif, M.A., Zim, M.K.I., & Kaur, H. (2024).ResNet vs Inception-v3 vs SVM: A Comparative Study of Deep Learning Models for Image Classification of Plant Disease Detection. https://doi.org/10.1109/iatmsi60426.2024.10502832. 10.1109/iatmsi60426.2024.10502832
[35]
Chin "Plant disease detection and classification using deep learning methods: a comparison study" J. Inform. Web Eng. (2024) 10.33093/jiwe.2024.3.1.10
[36]
Bebarta "Automated plant disease detection using deep learning" Indian Sci. J. Res. Eng. Manag. (2024)
[37]
Yani "A systematic literature review on leaf disease recognition using computer vision and deep learning approach" J. Inf. Syst. Eng. Bus. Intell. (2024) 10.20473/jisebi.10.2.232-249
[38]
Sunitha "A Convolution Neural Network with Skip Connections (CNNSC) approach for detecting micronutrients boron and iron deficiency in banana leaves" Deleted J. (2024)
[39]
Jayasiri, K.C.N., Chandrasiri, S., Rupasinghe, S., Karunanayake, K.O.R., Uthayachandran, A., & Zihara, M.I.F. (2023).Deep Learning-Based Image Analysis for Detecting Nutrient Deficiencies of Tomato Plants. https://doi.org/10.1109/icac60630.2023.10417203. 10.1109/icac60630.2023.10417203
[40]
Badade "A deep learning based framework for accurate prediction of disease of crops and nutrients in smart agriculture" Int. J. Res. Appl. Sci. Eng. Technol. (2024) 10.22214/ijraset.2024.60198
[41]
Mkhatshwa, J., Kavu, T.D., & Daramola, O. (2024). Analyzing the Performance and Interpretability of CNN-Based Architectures for Plant Nutrient Deficiency Identification.Computation (Basel). https://doi.org/10.3390/computation12060113. 10.3390/computation12060113
[42]
Tejaswi "Plant disease detection using deep learning" Int. J. Sci. Res. Arch. (2024)
[43]
Chavan, P., Mahajan, P., Patil, S., Patle, P.K., Pawar, B.V., & Pawar, N. (2024).Deep Learning-Driven Plant Disease Detection and Custom Fertilizer Formulation. https://doi.org/10.21203/rs.3.rs-4556922/v1. 10.21203/rs.3.rs-4556922/v1
[44]
Singla "Exploration of machine learning approaches for automated crop disease detection" Curr. Plant Biol. (2024)
[45]
Joshi "Precision diagnosis of tomato diseases for sustainable agriculture through deep learning approach with hybrid data augmentation" Curr. Plant Biol. (2025)
[46]
Th.S. Kumar "Enhancement of image classification through data augmentation using machine learning" Int. J. Comput. Sci. Eng. (2018)
[47]
Perez "The effectiveness of data augmentation in image classification using deep learning" ArXiv. Org. (2017)
[48]
A survey on Image Data Augmentation for Deep Learning

Connor Shorten, Taghi M. Khoshgoftaar

Journal of Big Data 2019 10.1186/s40537-019-0197-0
[49]
Cubuk "AutoAugment: learning augmentation policies from data" ArXiv (Cornell Univ. ) (2018)
[50]
Using Deep Learning for Image-Based Plant Disease Detection

Sharada P. Mohanty, David P. Hughes, Marcel Salathé

Frontiers in Plant Science 2016 10.3389/fpls.2016.01419

Showing 50 of 68 references

Metrics
7
Citations
68
References
Details
Published
Sep 01, 2025
Vol/Issue
43
Pages
100517
License
View
Funding
Science and Engineering Research Board
University Grants Commission
Council of Scientific and Industrial Research, India
Maharishi Dayanand University Award: DRD/25/1076\u201381
Cite This Article
Kamaldeep Joshi, Sumit Kumar, Varun Kumar, et al. (2025). AgriCure: A web application based layered augmentation-enhanced YOLOv8 for disease and nutrient deficiency detection in bitter gourd leaves. Current Plant Biology, 43, 100517. https://doi.org/10.1016/j.cpb.2025.100517
Related

You May Also Like