IEEE

Agriculture Yield Estimation Using Machine Learning Algorithms

Abstract: Storage, distribution, pricing, marketing, import/export, and other policy considerations all depend on accurate and timely crop output estimates. The directorates of economics and ...
IEEE

K-Nearest Neighbors in Machine Learning: Theory, Practice, and Advances

Abstract: K-Nearest Neighbors (KNN) is a basic model in a ML field used for classification or prediction analysis owing to its efficiency. The following paper will be a survey paper focused on ...
www.cs.cmu.edu

A Matlab Toolkit for Distance Metric Learning

Welcome! This is a Matlab toolkit for distance metric learning, including the implementation of a number of published machine learning algorithms in this area. The first version of this toolkit has ...
GitHub

KNN_Math_notes.pdf

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
C&EN

Real-Time and Rapid Food Quality Monitoring Using Smart Sensory Films with Image Analysis and Machine Learning

Department of Agricultural and Biological Engineering, University of Florida, P.O. Box 110570, Gainesville, Florida 32611, United States ...
GitHub

In-Network-Machine-Learning/Planter

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...