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International Journal for Research Trends and Innovation
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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 : 10
Issue Published : 114
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| Paper Title: | Smart Agricultural System Using IoT for Optimized Irrigation and Pest Detection |
| Authors Name: | Saksham Gupta , Sarthak Lakhotia , Mohit Kumar Sahoo , KB Ramesh |
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IJRTI_204668
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| Published Paper Id: | IJRTI2506069 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | In recent years, the integration of Internet of Things (IoT) technologies into agriculture has significantly improved resource optimization and crop management. However, most existing systems predominantly focus on either automated irrigation or environmental monitoring, often relying on high-power microcontrollers and cloud-based processing that increases cost, latency, and reliance on continuous internet connectivity. In this project, we present a cost-effective, standalone Smart Agriculture System using the ARM7-based LPC2148 microcontroller, which offers low power consumption, built-in ADC support, real-time processing, and excellent peripheral interfacing capabilities — making it an ideal choice for edge-based agricultural automation. By integrating LM35 temperature sensors, a soil moisture sensor, and a humidity sensor (POT-HG), the system enables intelligent irrigation and rule-based pest control — all without relying on cloud processing. A logistic regression model determines irrigation needs based on soil moisture and real-time rain forecasts received via UART, while localized temperature fusion triggers pest alerts through an LED. Unlike existing IoT solutions that require cloud AI or mobile apps, this system executes all decisions on-device, providing faster response, offline capability, and lower cost. Simulation was successfully performed using Proteus 8.13 and Keil, confirming its practicality and scalability for real-world deployment. |
| Keywords: | Smart Agriculture, IoT, LPC2148, ARM7, Embedded Systems, Soil Moisture Sensor, LM35 Temperature Sensor, Humidity Sensor, Pest Control, Smart Irrigation, Logistic Regression, Edge Computing, Proteus Simulation, UART Forecasting, Rule-Based System, Precision Farming |
| Cite Article: | "Smart Agricultural System Using IoT for Optimized Irrigation and Pest Detection", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a600-a609, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506069.pdf |
| Downloads: | 000305 |
| 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: IJRTI2506069
Registration ID:204668
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a600-a609 Country: Bengaluru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506069 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506069 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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