Smart Scarecrow Systems for Crop Protection: A Survey

Birds and wild or stray animals remain a persistent cause of pre-harvest crop loss, and the cheapest defences against them lose force over time. Scarecrows, reflective tape, noise makers and fences are inexpensive, yet animals learn that a stimulus which never changes carries no threat. This habituation is the central weakness of passive deterrence and the reason researchers have turned to systems that sense an intruder and respond only when one is present [1]–[4].Over the last decade, "smart scarecrow" designs have multiplied. They range from low-cost devices that pair a passive infrared (PIR) sensor with an Arduino-class microcontroller, a buzzer and a servo, to camera-based platforms that run deep-learning detectors on a Raspberry Pi or an embedded neural accelerator [5], [6]. Most reported work is spread across student theses, regional journals and conference papers, and the designs are rarely compared on common terms. Small farms, orchards and nurseries need a clear view of what is known, what is proven, and what is still guesswork before they invest in such a system.

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Publication Details

Journal
International Journal of Research in Engineering and Science
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24031049
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Smart Scarecrow Systems for Crop Protection: A Survey

Magdum Shital Mahadev, Jaganade Prathamesh Ganesh, Soundagar Anis Ashpak, Patel Mahammadkaif Allabaksh et al.
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International Journal of Research in Engineering and Science
Smart Agriculture and AI
article

Smart Scarecrow Systems for Crop Protection: A Survey

Magdum Shital Mahadev, Jaganade Prathamesh Ganesh, Soundagar Anis Ashpak, Patel Mahammadkaif Allabaksh, Patil Kartik Sanjaykumar, Kamble Julee Sudeep
article en

Abstract

Birds and wild or stray animals remain a persistent cause of pre-harvest crop loss, and the cheapest defences against them lose force over time. Scarecrows, reflective tape, noise makers and fences are inexpensive, yet animals learn that a stimulus which never changes carries no threat. This habituation is the central weakness of passive deterrence and the reason researchers have turned to systems that sense an intruder and respond only when one is present [1]–[4].Over the last decade, "smart scarecrow" designs have multiplied. They range from low-cost devices that pair a passive infrared (PIR) sensor with an Arduino-class microcontroller, a buzzer and a servo, to camera-based platforms that run deep-learning detectors on a Raspberry Pi or an embedded neural accelerator [5], [6]. Most reported work is spread across student theses, regional journals and conference papers, and the designs are rarely compared on common terms. Small farms, orchards and nurseries need a clear view of what is known, what is proven, and what is still guesswork before they invest in such a system.

International Journal of Research in Engineering and Science
Zero hunger
Openalex Percentile: Top 17%
Smart Agriculture and AI
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