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Updated: Jul 13, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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在地中海灌区使用不同空间分辨率的图像绘制土地覆盖面和作物类型的映射

Siham Acharki1, Pierre-Louis Frison2, Bijeesh Kozhikkodan Veettil3,4

  • 1Department of Earth Sciences, Faculty of Sciences and Technologies of Tangier (FSTT), Abdelmalek Essaadi University, 93000, Tetouan City, Morocco. sacharkis@gmail.com.

Environmental monitoring and assessment
|October 13, 2023
PubMed
概括

使用卫星数据准确识别作物类型对于可持续农业至关重要. 带有支持矢量机分类的PlanetScope图像在地中海地区的土地覆盖面和作物类型绘制中取得了最高的准确性.

关键词:
农作物种类型识别标识机器学习 机器学习光学远程传感器是一种远程传感器.哨兵一号 - 哨兵一号

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