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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: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24730
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Published Paper Details
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| Paper Title: | Wire Trail Crop Monitor |
| Authors Name: | Anujith K , Mr. Manu Thomas , K Gautham Krishna , Sreethul Rajeev P , Gopika Latheesh |
| Download E-Certificate: | Download |
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IJRTI_212394
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| Published Paper Id: | IJRTI2605053 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The Wire Trail Crop Monitor is a smart automated farming system, agricultural automation solution designed for active crop health management and efficient resource utilization. The system operates on two coordinated ESP32 microcontrollers and a dual monitoring principle. First, an ESP32-CAM module is mounted on a mobile platform controlled by DC motors and boundary-defining IR sensors. This unit continuously captures real-time video and image data as it moves along a fixed wire, allowing remote crop inspection. This visual data is wirelessly transmitted to a central unit for image processing and deep learning analysis to identify the type and location of plant diseases. Second, a secondary ESP32 module monitors ambient conditions via a DHT11 sensor (temperature and humidity) conditions. The system then correlates the detected disease with a database to determine the correct single pesticide required for treatment. Functioning as the Pesticide Dispenser and Control Unit, this secondary ESP32 precisely controls the preparation: it activates only one of the three valves/pumps to release the specific pesticide (or solution) and controls a water pump to add water to the mixture. For delivery, a servo motor precisely aligns the mixture output pipe with the mobile unit's container intake port for refilling. The loaded mobile unit then traverses back to the zone and dispenses the solution the affected area. Telegram integration provides farmers with real-time alerts regarding disease detection, recommendations and data. This integrated, dual-controller approach ensures efficient monitoring, automated disease management, reduced water and chemical wastage, and minimal manual labour, improving overall productivity and sustainability in smart agriculture |
| Keywords: | Smart farming; Agricultural automation; Crop health monitoring; ESP32 microcontrollers; Image processing; Deep learning; Plant disease detection; Pesticide dispenser; Sustainable agriculture; Resource efficiency |
| Cite Article: | "Wire Trail Crop Monitor", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a449-a452, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605053.pdf |
| Downloads: | 000205563 |
| ISSN: |
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: IJRTI2605053
Registration ID:212394
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a449-a452 Country: Kannur, Kerala, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605053 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605053 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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