转移学习以提高预测大豆成熟日期的概括性,使用无人机图像
Jing Zhou1,2, Jianfeng Zhou2, Andrew Scaboo2
1Department of Crop and Soil Science, Oregon State University, Corvallis, OR, United States.
Frontiers in plant science
|February 16, 2026
概括
转移学习使用历史数据和空中图像准确预测大豆成熟日期. 预培训和微调模型很好地对新环境进行概括,提高了作物育种效率.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 遥感 遥感 遥感 遥感
背景情况:
- 准确的表型定型对于高效的作物育种至关重要,尤其是大豆 (Glycine max (L.) Merr. ) 的情况.
- 成熟期组显著影响大豆的适应性和产量潜力,需要精确的成熟日期评估.
- 转移学习提供了一种有前途的方法,可以在不同的环境中将预测模型通用化.
研究的目的:
- 评估转移学习技术在预测大豆成熟日期方面的有效性.
- 为了提高模型的可通用性,使用历史数据进行新的育种试验.
- 评估微调样本大小对预测准确性的影响.
主要方法:
- 利用来自五个大豆育种试验 (2018-2021) 中收集的无人机 (UAV) 的多光谱图像.
- 采用七个图像特征作为成熟日期预测模型的预测因素.
- 我们比较了三种转移学习技术:预训练和微调,单源域调整和多源域调整.
主要成果:
- 预训练和微调转移学习技术实现了最高的预测准确性 (R2 = 0.74和0.79).
- 模型与视觉成熟度评估有很强的一致性,根平均平方误差为1.70和1.96天.
- 微调样本的数量对新数据集的预测准确度的影响微不足道.
结论:
- 转移学习,特别是预培训和微调,有效地将大豆成熟度预测模型推广到新的环境中.
- 这种方法为利用累积的数据提供了一个有价值的框架,以增强在作物育种中的实际深度学习应用.
- 这些发现支持使用历史数据和航空图像来进行强大和高效的大豆品种选择.
相关概念视频
02:16Light Acquisition
9.7K
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.
9.7K
02:07Improving Translational Accuracy
15.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.1K
02:07Improving Translational Accuracy
3.7K
3.7K
01:29Application of Linearization and Approximation
105
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
105
01:25Multiple Regression
4.0K
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...
4.0K