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Title: :  AI and Machine Learning Based Detection of Nematode Disease in Plants
PaperId: :  28253
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-28253
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nomeshvari GaurkarPriyadarshini college of Engineering, Nagpur
Nurjahat ChoudhariPriyadarshini college of Engineering, Nagpur
Darshan UbhalePriyadarshini college of Engineering, Nagpur
Samruddhi BendrePriyadarshini college of Engineering, Nagpur
Dr. Gajendra AsutkarPriyadarshini college of Engineering, Nagpur

Abstract

Artificial Intelligence and Data Science
Nematode disease detection, Artificial Intelligence, Machine Learning, Deep Learning, Precision Agriculture, Soil-based analysis, Root image processing, Leaf image classification, Plant disease detection, CNN, Sensor-based monitoring, Soil parameters, Multimodal data fusion, Early disease detection, Severity classification, Smart agriculture, Agricultural AI systems, Computer vision in agriculture
Nematode infections significantly affect crop productivity by damaging plant root systems, yet early detection remains difficult due to the lack of visible symptoms in initial stages. This paper reviews the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques for nematode disease detection using multiple data sources, including leaf images, soil parameters, and root images. Existing approaches such as Convolutional Neural Networks (CNNs), sensor-based soil analysis, and image processing methods are analyzed for their effectiveness and limitations. The study highlights that single-source detection methods often fail to provide accurate early-stage diagnosis. To address this issue, a multi-modal and multi-stage detection framework is emphasized, enabling classification of disease severity into early, moderate, and severe levels. Furthermore, key research gaps such as limited datasets, lack of real-time adaptability, and poor field-level deployment are identified. The proposed integrated approach supports improved accuracy and sustainable precision agriculture practices.

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IJARIIE Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar. "AI and Machine Learning Based Detection of Nematode Disease in Plants" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 2 2026 Page 1051-1055
MLA Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar. "AI and Machine Learning Based Detection of Nematode Disease in Plants." International Journal Of Advance Research And Innovative Ideas In Education 12.2(2026) : 1051-1055.
APA Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, & Dr. Gajendra Asutkar. (2026). AI and Machine Learning Based Detection of Nematode Disease in Plants. International Journal Of Advance Research And Innovative Ideas In Education, 12(2), 1051-1055.
Chicago Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar. "AI and Machine Learning Based Detection of Nematode Disease in Plants." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 2 (2026) : 1051-1055.
Oxford Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar. 'AI and Machine Learning Based Detection of Nematode Disease in Plants', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, 2026, p. 1051-1055. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AI_and_Machine_Learning_Based_Detection_of_Nematode_Disease_in_Plants_ijariie28253.pdf (Accessed : ).
Harvard Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar. (2026) 'AI and Machine Learning Based Detection of Nematode Disease in Plants', International Journal Of Advance Research And Innovative Ideas In Education, 12(2), pp. 1051-1055IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AI_and_Machine_Learning_Based_Detection_of_Nematode_Disease_in_Plants_ijariie28253.pdf (Accessed : )
IEEE Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar, "AI and Machine Learning Based Detection of Nematode Disease in Plants," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, pp. 1051-1055, Mar-App 2026. [Online]. Available: https://ijariie.com/AdminUploadPdf/AI_and_Machine_Learning_Based_Detection_of_Nematode_Disease_in_Plants_ijariie28253.pdf [Accessed : ].
Turabian Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar. "AI and Machine Learning Based Detection of Nematode Disease in Plants." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 2 ().
Vancouver Nomeshvari Gaurkar, Nurjahat Choudhari, Darshan Ubhale, Samruddhi Bendre, and Dr. Gajendra Asutkar. AI and Machine Learning Based Detection of Nematode Disease in Plants. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : ]; 12(2) : 1051-1055. Available from: https://ijariie.com/AdminUploadPdf/AI_and_Machine_Learning_Based_Detection_of_Nematode_Disease_in_Plants_ijariie28253.pdf
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