Autor/Autorin: Jangre Nilima
Er. Nilima Jangre completed B.Tech (Agril. Engg.) and M.Tech (Soil and Water Engg.) from Indira Ghadhi Krishi Viswavidyalya Raipur (C.G.) She has 2year of teaching experience. She has published more than 3 scientific papers and many popular articles.
Reference evapotranspiration (ETo) is a key issue in hydrology, water resources management and irrigation scheduling. The standard Food and Agriculture Organization of the United Nations (FAO) -56 Penman Monteith (PM) equation requires several meteorological inputs for estimating ETo, which are generally not available in most of the stations.This study is an attempt to estimate ETo using fuzzy logic models with fewer weather parameters for chhatisgarh plains.Different fuzzy sets have been formed using the parameters, namely maximum temperature (Tmax), relative humidity (RH-I) and wind speed (WS) . Developed fuzzy logic models require lesser inputs variable than input required by different empirical methods. Hence developed fuzzy model may be used to estimate ETo with fewer weather parameters.
Jangre, NilimanEr. Nilima Jangre completed B.Tech (Agril. Engg.) and M.Tech (Soil and Water Engg.) from Indira Ghadhi Krishi Viswavidyalya Raipur (C.G.) She has 2year of teaching experience. She has published more than 3 scientific papers and many popular articles.
Über den Autor
Er. Nilima Jangre es licenciada en Ingeniería Agrícola y tiene un máster en Ingeniería de Suelos y Aguas por la Indira Ghadhi Krishi Viswavidyalya Raipur (C.G.). Ha publicado más de 3 artículos científicos y muchos artículos de divulgación.
Klappentext
Reference evapotranspiration (ETo) is a key issue in hydrology, water resources management and irrigation scheduling. The standard Food and Agriculture Organization of the United Nations (FAO) -56 Penman Monteith (PM) equation requires several meteorological inputs for estimating ETo, which are generally not available in most of the stations.This study is an attempt to estimate ETo using fuzzy logic models with fewer weather parameters for chhatisgarh plains.Different fuzzy sets have been formed using the parameters, namely maximum temperature (Tmax), relative humidity (RH-I) and wind speed (WS) . Developed fuzzy logic models require lesser inputs variable than input required by different empirical methods. Hence developed fuzzy model may be used to estimate ETo with fewer weather parameters.
