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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Mongabay News

Francis Hallé, the botanist who took a raft into the rainforest canopy

In most forests, a visitor’s eye is trained on what can be reached. The trunk can be measured. The leaves can be plucked. A ...

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 ...
IEEE

Hydroponic using Deep Water Culture for Lettuce Farming using Random Forest Compared with Decision Tree Algorithm

Abstract: This research aims to optimize lettuce cultivation in a Deep Water Culture (DWC) hydroponic system by leveraging machine learning techniques. By analyzing various parameters such as ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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 ...
People

Family Marks More Than 40 Years Using Same Christmas Tree: 'Time Capsule of Our Life'

California couple Joe and Gina Mistretta bought their potted potted Scotch pine 34 years ago and have used it ever since Charlotte Phillipp is a Weekend Writer-Reporter at PEOPLE. She has been working ...