一种机器学习方法用于估计西北西班牙的料玉米产量和质量
Silverio García-Cortés1, Agustín Menéndez-Díaz2, María José Bande-Castro3
1Cartographic Engineering Area, University of Oviedo, Asturias, Spain.
PloS one
|August 12, 2025
概括
这项研究适应了作物模型来模拟料玉米的产量和质量,发现生长季节和辐射是关键预测因素. 开发的模型为非专业用户提供了可访问的预测.
科学领域:
- 农业科学 农业科学
- 农业学是一种农业学.
- 作物建模作物建模
背景情况:
- 作物模型是模拟不同环境条件下的作物生长的重要工具.
- 料玉米的产量和质量对于畜牧业生产至关重要,需要准确的预测方法.
研究的目的:
- 调整CSM-CERES-Maize模型以模拟料玉米的产量和质量.
- 确定影响料玉米生产的关键环境和管理变量.
- 为非专业用户开发可访问的预测模型.
主要方法:
- 在多个地点和年份使用CSM-CERES-Maize模型 (DSSAT) 校准了六种料玉米品种的遗传参数.
- 利用历史气象数据 (2000-2022) 进行产量和质量模拟.
- 采用LightGBM (一种机器学习技术) 来建模非线性关系并识别有影响力的变量.
主要成果:
- 实现了高预测准确度:94.7%的产量,94.0%的能量,93.0%的蛋白质.
- 确定生长季节和辐射是最有影响力的预测变量.
- 较长周期的品种 (周期400) 显示出优异的产量和质量指标.
结论:
- 适应的作物模型准确地模拟了料玉米的产量和质量.
- 生长季节的长度和太阳辐射显著影响料玉米的生产.
- 开发的模型为预测料玉米的表现提供了有价值的工具,并有助于农业决策.
相关概念视频
02:16Light Acquisition
8.6K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.6K
01:25Multiple Regression
3.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K