Machine Learning in Agriculture: A Review
Top Cited Papers
Open Access
- 14 August 2018
- Vol. 18 (8), 2674
- https://doi.org/10.3390/s18082674
Abstract
Machine learning has emerged with big data technologies and high-performance computing to create new opportunities for data intensive science in the multi-disciplinary agri-technologies domain. In this paper, we present a comprehensive review of research dedicated to applications of machine learning in agricultural production systems. The works analyzed were categorized in (a) crop management, including applications on yield prediction, disease detection, weed detection crop quality, and species recognition; (b) livestock management, including applications on animal welfare and livestock production; (c) water management; and (d) soil management. The filtering and classification of the presented articles demonstrate how agriculture will benefit from machine learning technologies. By applying machine learning to sensor data, farm management systems are evolving into real time artificial intelligence enabled programs that provide rich recommendations and insights for farmer decision support and action.Keywords
This publication has 99 references indexed in Scilit:
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Artificial neural network models of the rumen fermentation pattern in dairy cattleComputers and Electronics in Agriculture, 2008
- CPC: assess the protein-coding potential of transcripts using sequence features and support vector machineNucleic Acids Research, 2007
- Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networksComputers and Electronics in Agriculture, 2004
- Support-vector networksMachine Learning, 1995
- Counterpropagation networksApplied Optics, 1987
- MODELS FOR REASONING UNDER UNCERTAINTYApplied Artificial Intelligence, 1987
- Robust Locally Weighted Regression and Smoothing ScatterplotsJournal of the American Statistical Association, 1979
- Taylor expansion of the accumulated rounding errorBIT Numerical Mathematics, 1976
- The perceptron: A probabilistic model for information storage and organization in the brain.Psychological Review, 1958