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Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms
precision agriculture field crops machine learning deep learning image processing textural features
2023/12/21
The current mainstream approach of using manual measurements and visual inspections for crop lodging detection is inefficient, time-consuming, and subjective. An innovative method for wheat lodging de...
Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan
UAS stem volume TLS SAR random forest support vector multiple regression forest biophysical parameter
2023/12/21
The development of new methods for estimating precise forest structure parameters is essential for the quantitative evaluation of forest resources. Conventional use of satellite image data, increasing...
Goat mastitis detection using daily records of milk conductivity: comparative results of different algorithms
intramammary infection gland measurements on-line
2015/7/2
Milk electrical conductivity is employed for mastitis detection in cows due to its automation, low cost, and infection detectability at early stage. Nevertheless, the number of publications about its ...
Algorithms and software solution of thinning models for SIBYLA growth simulator
tree growth models thinning engine thinning concepts forest modeling
2015/2/6
The paper deals with a proposal for a thinning model for the growth simulator SIBYLA. The model is based on an analytical-causal modeling approach. Some partial theorems are tested on experimental dat...
根系吸水模型参数的混合遗传算法估算方法（Inverse Method Estimating Root Water Uptake Model Parameters Using Hybrid Genetic Algorithms）
根系吸水模型 参数优化 混合遗传算法
2009/9/11
构建了遗传算法与Levenberg-Marquardt算法相结合的混合遗传算法，用于求解根系吸水模型参数。分别进行数值试验和棉花根系吸水试验对混合遗传算法求解精度进行验证。数值试验表明，采用混合遗传算法优化求解根系吸水模型参数的优化值具有较高的精度，含水率资料的时间步长和空间步长对根系吸水模型参数的优化精度有较大影响，在实际中时间步长可取值5～10d，空间步长取值5～10cm。对室内棉花根系吸水进...