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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...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:System Control Schemes based on Actor-Critic Learning Algorithms
Actor-Critic学习算法 系统 控制方案
2023/4/27
GEOLOGICAL MAPPING USING MACHINE LEARNING ALGORITHMS
Geology Geological Mapping MLA Random Forest Spectral Imagery Rocks
2016/11/30
Remotely sensed spectral imagery, geophysical (magnetic and gravity), and geodetic (elevation) data are useful in a variety of Earth science applications such as environmental monitoring and mineral e...
Integrated use of spatial data and learning algorithms to detect water quality trends
Integrated spatial data learning algorithms detect water quality trends
2016/5/20
This paper presents the first results of a study which investigates river basin water quality management based on the ability of GIS to integrate different data sources into a common geographical data...
Learning Algorithms for Keyphrase Extraction
achine learning summarization indexing keywords keyphrase extraction
2015/7/30
Many academic journals ask their authors to provide a list of about five to fifteen keywords,
to appear on the first page of each article. Since these key words are often phrases of two or
more word...
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
Generalization Ability Online Learning Algorithms Pairwise Loss Functions
2013/6/14
In this paper, we study the generalization properties of online learning based stochastic methods for supervised learning problems where the loss function is dependent on more than one training sample...
Relevance As a Metric for Evaluating Machine Learning Algorithms
Machine learning algorithms performance metric proba-bilistic approach
2013/4/28
In machine learning, the choice of a learning algorithm that is suitable for the application domain is critical. The performance metric used to compare different algorithms must also reflect the conce...