Purdue University College of Agriculture

AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Frontiers

A Machine Learning and Remote Sensing Approach for Accurate Forest Sub-compartment Level Vegetation Cover Change Monitoring

1 Beijing Forestry University, Beijing, China 2 Ecological Environment Monitoring Center, Sichuan Forestry and Grassland Survey and Planning Institute, CHENGDU, China The final, formatted version of ...
IEEE

Heart Disease Prediction Using Random Forest in Machine Learning Using The Concepts of Data Mining

Abstract: Heart disease remains one of the leading causes of death worldwide, making early prediction essential for treatment and prevention. This study applies machine learning techniques, ...
IEEE

Analysis of Decision Tree and Random Forest Algorithms for Nutrient Deficiency Classification in Citrus Leaves through Image Processing

Abstract: The research presents a hybrid approach to identify and categorise nutritional deficiency syndrome in citrus leaves using image processing and machine learning. The method includes ...