物联网使得使用无人机的深度学习方法成为可能,使得综合农场管理成为可能
1Department of Computer Engineering, College of Computer and Information Sciences, Majmaah University, Al Majmaah, 11952, Saudi Arabia.
Heliyon
|August 14, 2023
概括
无人机支持集成农场管理 (UAV-IFM) 增强了智能畜牧业. 该系统提高了效率,准确性和预测,以更好地管理农场和控制疾病.
科学领域:
- 农业技术 农业技术
- 人工智能在农业中的应用
- 畜牧管理系统 畜牧管理系统
背景情况:
- 智能畜牧利用数字技术提高利能力,效率和生态效益.
- 精密畜牧业,专注于个体动物的监测,是一个关键的进步.
- 挑战包括气候变化,生物多样性丧失和持续监测的需要.
研究的目的:
- 引入和评估无人机支持的综合农场管理 (UAV-IFM) 系统.
- 通过先进技术整合,增强智能畜牧业实践.
- 改进评估过程,以便更广泛地采用智能畜牧业.
主要方法:
- 无人机,机器人,遥感器和计算机图像的集成.
- 深度学习 (DL) 算法的应用用于数据分析和预测.
- 开发UAV-IFM系统,用于全面的农场管理.
主要成果:
- 无人机-IFM提供安全可靠的牲畜跟踪从农场到餐桌.
- 该系统有助于检测和控制疾病爆发,防止经济损失.
- 实验分析表明,UAV-IFM在效率,性能,准确性和预测方面优于传统的智能畜牧业.
结论:
- 无人机-IFM正确预测和验证智能畜牧管理.
- 该系统通过改进评估流程,支持更广泛地采用智能畜牧业.
- UAV-IFM为农民提供增长支持援助,增强整体农场运营.
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