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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 122
Article Submitted : 25330
Article Published : 9497
Total Authors : 25208
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| Paper Title: | AI POWERED AUTOMATIC PLANT DISEASE DETECTION AND PRECISION PESTICIDE SPRAYING SYSTEM |
| Authors Name: | Krushna Ravindra Nirmal , Satvik Anil Pawar , Rahul Nivrutti Pawar , Savita Borkar |
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IJRTI_213371
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| Published Paper Id: | IJRTI2606057 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | Agriculture remains the backbone of food security and economic stability, yet crop losses due to plant diseases continue to pose a significant global challenge, reducing annual yields by 10% to 40%. Traditional monitoring relies heavily on manual field scouting, which is labor-intensive, subjective, and often too late for effective target intervention, leading to excessive chemical usage. This research paper presents an integrated automated edge solution combining computer vision, deep learning, and robotic precision spraying mechanisms. Deployed on a resource-constrained Raspberry Pi 3 platform, a trained lightweight YOLOv8-Nano model processes real-time leaf images captured via a high-resolution camera module to identify fungal, bacterial, and viral infections. Upon disease confirmation with a confidence score exceeding 0.90, the synchronized on-board system triggers a multi-channel relay array and high-speed solenoid valves, delivering localized pesticide doses tailored to affected foliage sections. Empirical validation confirms a disease classification accuracy of 97.5% on the test dataset and a dramatic 75% reduction in chemical consumption compared to traditional broadcast methods, showcasing an affordable and ecologically sustainable approach toward precision smart farming. |
| Keywords: | Precision Agriculture, Plant Disease Detection, Deep Learning, YOLOv8-Nano, Raspberry Pi, Smart Spraying, Electromechanical Synchronization. |
| Cite Article: | "AI POWERED AUTOMATIC PLANT DISEASE DETECTION AND PRECISION PESTICIDE SPRAYING SYSTEM ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a575-a579, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606057.pdf |
| Downloads: | 00098 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2606057
Registration ID:213371
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a575-a579 Country: Ahilyanagar , Maharashtra , India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606057 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606057 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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