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Integrated Solar Powered Smart Agriculture System with Vision Based Drone Surveillance

ビジョンベースのドローン監視を備えた統合太陽光発電スマート農業システム (AI 翻訳)

Saravanakumar P., . Yogeshwaran S, Shyam K., Dr. . Umarani B

International Journal of Science Strategic Management and Technology📚 査読済 / ジャーナル2026-04-05#再生可能エネルギー
DOI: 10.55041/ijsmt.v2i4.031
原典: https://doi.org/10.55041/ijsmt.v2i4.031
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🤖 gxceed AI 要約

日本語

本論文は、野生動物の侵入や環境不安定性から農作物を守るため、太陽光発電とドローン監視を組み合わせた自律型農業セキュリティシステムを提案する。ESP32コントローラが土壌水分、温湿度、降雨、ガスレベルなどのセンサを統合し、従来の人手や化学薬品に代わる持続可能なソリューションを提供する。再生可能エネルギーを活用することで、遠隔地の電力問題を解決し、環境負荷を低減する。

English

This paper proposes an autonomous agricultural security system combining solar power and drone surveillance to protect crops from wildlife and environmental threats. The ESP32 controller integrates sensors for soil moisture, temperature, humidity, rain, and gas levels, offering a sustainable alternative to manual labor and chemical repellents. By leveraging renewable energy, it addresses power reliability issues in remote areas and reduces environmental impact.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本の農業分野では、GX(グリーントランスフォーメーション)の一環として再生可能エネルギー活用が進むが、本論文は具体的な政策や開示基準(SSBJなど)との連動はない。ただし、太陽光発電とIoTを組み合わせた農業の省エネ・効率化事例として、日本のスマート農業や地域分散型エネルギーシステムに関心のある読者には参考になる。

In the global GX context

While this paper does not directly address climate disclosure or carbon accounting, it demonstrates a practical application of renewable energy in agriculture, which aligns with global GX trends in decarbonizing the food system. The integration of solar power and IoT sensors offers a replicable model for sustainable farming, relevant to discussions on energy transition and climate adaptation in the agricultural sector.

👥 読者別の含意

🔬研究者:Researchers in agricultural technology and renewable energy systems can explore the integration of solar power with drone-based surveillance for crop protection.

🏢実務担当者:Corporate sustainability teams in agribusiness may find the system useful for reducing carbon footprint and operational costs through renewable energy adoption.

📄 Abstract(原文)

The global agricultural sector faces persistent threats from wildlife encroachment and environmental instability, which frequently culminate in substantial financial losses for farming communities. Conventional methodologies for safeguarding crops—ranging from physical labor and traditional scarecrows to the application of chemical repellents—are increasingly proving inadequate as animal populations grow accustomed to these static deterrents. Furthermore, modern alternatives like electric fencing are often deemed impractical for large-scale rural application due to their high maintenance requirements and the inherent safety risks they pose to both humans and the local ecosystem. To address these vulnerabilities, this project introduces a self-sustaining, autonomous framework that harmonizes renewable energy with sophisticated surveillance technology. By employing a solar-powered infrastructure, the system ensures an environmentally friendly and uninterrupted operation, effectively mitigating the high electricity costs and power reliability issues common in remote agricultural zones. The core of this initiative lies in its ability to transition from labor-intensive manual guarding to a high-tech, automated security environment. The technical architecture is centered around an ESP32 controller that manages an extensive array of environmental sensors, including those for soil moisture, temperature, humidity, rain detection, and gas levels

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。