Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Crop Selection Method to maximize crop yield rate using machine learning technique
Agriculture planning plays a significant role in economic growth and food security of agro-based country. Se- lection of crop(s) is an important issue for agriculture planning. It depends on various parameters such as production rate, market price and government policies. Many researchers studied prediction of yield rate of crop, prediction of weather, soil classification and crop classification for agriculture planning using statistics methods or machine learning techniques. If there is more than one option to plant a crop at a time using limited land resource, then selection of crop is a puzzle. This paper proposed a method named Crop Selection Method (CSM) to solve crop selection problem, and maximize net yield rate of crop over season and subsequently achieves maximum economic growth of the country. The proposed method may improve net yield rate of crops.
Crop Selection Method to maximize crop yield rate using machine learning technique
Agriculture planning plays a significant role in economic growth and food security of agro-based country. Se- lection of crop(s) is an important issue for agriculture planning. It depends on various parameters such as production rate, market price and government policies. Many researchers studied prediction of yield rate of crop, prediction of weather, soil classification and crop classification for agriculture planning using statistics methods or machine learning techniques. If there is more than one option to plant a crop at a time using limited land resource, then selection of crop is a puzzle. This paper proposed a method named Crop Selection Method (CSM) to solve crop selection problem, and maximize net yield rate of crop over season and subsequently achieves maximum economic growth of the country. The proposed method may improve net yield rate of crops.
Crop Selection Method to maximize crop yield rate using machine learning technique
Kumar, Rakesh (Autor:in) / Singh, M.P. (Autor:in) / Kumar, Prabhat (Autor:in) / Singh, J.P. (Autor:in)
01.05.2015
466007 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Crop Coefficients: Improving Crop Yield
Online Contents | 1998
Intelligent Crop Recommender System for Yield Prediction Using Machine Learning Strategy
Springer Verlag | 2024
|Intelligent Crop Recommender System for Yield Prediction Using Machine Learning Strategy
Springer Verlag | 2024
|A Self-Predictable Crop Yield Platform (SCYP) Based On Crop Diseases Using Deep Learning
DOAJ | 2019
|Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs
Online Contents | 2008
|