相关实验视频
Updated: Jul 12, 2026

11:49
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
Published on: February 2, 2019
概括
准确的全球作物生产预测对于粮食安全至关重要. 一个新的卫星和天气报告系统,在Large Area Crop Inventory Experiment (LACIE) 中进行了测试,显示出可靠的国际作物评估的希望.
科学领域:
- 农业科学 农业科学
- 遥感技术是远程传感技术.
- 国际贸易 国际贸易 国际贸易
背景情况:
- 全球粮食安全受到依赖进口的挑战,反映了对石油的依赖.
- 当前的外国作物生产数据往往不可靠,过时,并且受到经济操纵的影响.
- 作为一个主要的粮食出口国,美国需要及时准确的国际作物信息.
研究的目的:
- 开发和测试一种新的作物库存系统,以便更可靠地预测外国作物产量.
- 解决现有的国际农业数据的不足和不及时性.
- 评估使用卫星遥感和天气数据用于作物监测的可行性.
主要方法:
- 实施一个综合卫星遥感和全球天气数据的作物库存系统.
- 通过大面积作物库存实验 (LACIE) 测试该系统.
- 使用实时数据预测农业产量.
主要成果:
- 该系统成功地生成了1977年苏联小麦生产的实时预测.
- 结果验证了综合卫星和天气数据方法的有效性.
- 该实验证明了准确预测作物产量的潜力.
结论:
- 经过测试的作物库存系统对于实时作物生产预测是有效的.
- 该方法有望扩展到其他国家和作物类型.
- 这种方法可以显著提高全球农业情报的可靠性.
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