フィールドカレーのRealSenseベースの可変噴霧制御システムの設計と試験
Yahui Luo1, Wen Li1, Pin Jiang1
1College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha, China.
Frontiers in plant science
|August 20, 2025
まとめ
双眼視とYOLOv8nテクノロジーを用いた新しい可変噴霧制御システムは,カレーを正確に標的にし,農薬の廃棄物を最大26.58%削減し,よりよい害虫対策のための適用効率を改善します.
科学分野:
- 農業工学
- ロボットと自動化
- コンピュータ・ビジョン
背景:
- 伝統的な高地スプレーヤーは 高い殺虫剤用量,低効率,悪質な害虫対策に苦しんでいます
- 農薬廃棄物は従来の噴霧方法において重要な問題です.
- 精密農業には ターゲットを絞った応用のための 先進的な技術が必要です
研究 の 目的:
- カレーに精密な殺虫剤を施すための可変噴霧制御システムの設計と評価.
- 効率と廃棄物の観点から,従来の噴霧方法の限界を解決する.
- 農薬の利用を最適化しながら 害虫と病気の制御を改善する.
主な方法:
- 双眼視感センサーとパルス幅調節 (PWM) 技術を統合した可変スプレー制御システムを開発した.
- リアルタイムでカレーを特定するために,YOLOv8nに基づいた改良された標的検出モデルを使用した.
- ソレノイドバルブの動作サイクルにおけるオン/オフフローテストを行い,フィールドテストを通じて噴霧効果を評価した.
主要な成果:
- YOLOv8nモデルは,畑で栽培されたカレーの検出精度88.7%を達成しました.
- 変数噴射は,定数噴射と比較して,原子化堆積密度の変動係数を0.2%減少させた.
- 農薬の削減率は最大で26.58%に達し,理論的流量と実際の流量の間には強い線形相関関係がある (最大誤差4.1%).
結論:
- 開発された可変噴霧制御システムは,双眼視感知器によって誘導された正確な農薬の適用を効果的に達成します.
- このシステムは,カレーの農薬利用と害虫対策の有効性を大幅に改善しています.
- この技術は,環境への影響を軽減する,実用的で効率的な 農場害虫対策の解決策を提供します.
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