Forecasting yield by integrating agrarian factors and machine learning models: A survey
D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum
arises from the investigation of the available data and integrating them with a process like a
crop improvement, yield prediction, crop disease analysis, identifying water stress, and so
on. Computing techniques like Machine learning is a new advent for the analysis and
resoluteness of these intricate issues. Various analytical models like Decision Trees …
various fields of agriculture to be incremented in the public domain. Hence a desideratum
arises from the investigation of the available data and integrating them with a process like a
crop improvement, yield prediction, crop disease analysis, identifying water stress, and so
on. Computing techniques like Machine learning is a new advent for the analysis and
resoluteness of these intricate issues. Various analytical models like Decision Trees …
Forecasting yield by integrating agrarian factors and machine learning models: a survey.
DE Dhivya Elavarasan, DR Vincent, VS Vishal Sharma… - 2018 - cabidigitallibrary.org
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum
arises from the investigation of the available data and integrating them with a process like a
crop improvement, yield prediction, crop disease analysis, identifying water stress, and so
on. Computing techniques like Machine learning is a new advent for the analysis and
resoluteness of these intricate issues. Various analytical models like Decision Trees …
various fields of agriculture to be incremented in the public domain. Hence a desideratum
arises from the investigation of the available data and integrating them with a process like a
crop improvement, yield prediction, crop disease analysis, identifying water stress, and so
on. Computing techniques like Machine learning is a new advent for the analysis and
resoluteness of these intricate issues. Various analytical models like Decision Trees …