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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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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21318
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
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Published Paper Details
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| Paper Title: | QUADCOPTER for Crop Health Monitoring and Precision Farming |
| Authors Name: | MANOJ KUMAR N , GURU KIRAN A L , KAVANA N , TEJASHREE R , AVINASH C M |
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IJRTI_208418
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| Published Paper Id: | IJRTI2512053 |
| Published In: | Volume 10 Issue 12, December-2025 |
| DOI: | |
| Abstract: | Agriculture drones are transforming modern farming by integrating and remote sensing. They assist in crop monitoring and pesticide spraying, enabling farmers to make datadriven decisions. These drones provide real-time insights, increasing efficiency and sustainability in agriculture. The use of drones reduces labour intensity, minimizes chemical over use, and enhances productivity. Agriculture drones are evolving into intelligent farming tools capable of predictive analysis. This technology contributes to precision farming, and resource optimization, making it an essential component of future agriculture. Sustainable agriculture demands innovative solutions to enhance crop productivity while minimizing environmental impact. This project presents the design and implementation of a pest-spraying quadcopter integrated with smart crop health monitoring, aimed at promoting precision agriculture. The quadcopter is equipped with GPS-based navigation, a pesticide spraying mechanism, and advanced imaging sensors such as multispectral, cameras to assess plant health in real time. Using image processing and machine learning algorithms, the system can detect early signs of crop stress, nutrient deficiency, or pest infestation, enabling targeted intervention. The drone autonomously maps the affected areas and executes site-specific pesticide application, thereby reducing chemical usage and improving efficiency. This integrated approach not only lowers operational costs and labor but also contributes to ecological sustainability by minimizing pesticide runoff and enhancing crop management. The proposed system demonstrates a significant step forward in merging aerial robotics with smart agriculture technologies. |
| Keywords: | Single Channel Relay, Pump Control, Spraying Automation, ESP32, Switching Module. |
| Cite Article: | "QUADCOPTER for Crop Health Monitoring and Precision Farming", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a431-a435, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512053.pdf |
| Downloads: | 000184 |
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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: IJRTI2512053
Registration ID:208418
Published In: Volume 10 Issue 12, December-2025
DOI (Digital Object Identifier):
Page No: a431-a435 Country: BENGALURU, KARNATAKA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2512053 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2512053 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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