Yield prediction before harvesting is one of the tools in order to planning food production supply in future.Yield prediction was carried out for Wheat(Triticum aestivum) using different meteorological variables with agrometeorological indices in Hamedan district during 2003-04 and 2004-05. According to correlation coefficients, standard error of estimate as well as relative deviation of predic...

introduction evapotranspiration is one of the most important elements of hydrological cycle which is required for water resource management and design of irrigation systems. crop evapotranspiration (etc) can be measured by the lysimeter using water balance equation. it also can be estimated by multiplying reference evapotranspiration (eto) and crop coefficient (kc). considering the importance o...

The complementary relationship (CR) of evapotranspiration allows the estimation of the actual evapotranspiration rate (ETa) of the land surface using only routine meteorological data, which is of great importance in the Tibetan Plateau (TP) due to its sparse observation network. With the highest in situ automatic climate observation system in a typical semiarid alpine steppe region of the TP, t...

BACKGROUND Understanding the drivers of large-scale vegetation change is critical to managing landscapes and key to predicting how projected climate and land use changes will affect regional vegetation patterns. This study aimed to improve our understanding of the role, magnitude and spatial distribution of the key environmental factors driving vegetation change in southern African savanna, and...

We compared the effectiveness of environmental variables, and in particular of land-use indicators, to explain species richness patterns across taxonomic groups and biogeographical scales (i.e. overall pan-Europe and ecoregions within pan-Europe). Using boosted regression trees that handle non-linear relationships, we compared the relative influence (as a measure of effectiveness) of environmen...

Rainfall and evapotranspiration are the two most popular climatic factors which have crucial function on agricultural production. Rainfall can be directly measured easily in an area but evapotranspiration is estimated from weather data. In this study reference evapotranspiration ETo was estimated using Penman–Monteith equation. Monthly rainfall and evapotarnspiration were plotted and compared i...

The proposed method for calculation of potential evapotranspiration is Penman-Monteith FAO method, but there are other methods that require less meteorological data but estimates close to the FAO Penman-Monteith method in different climatic conditions.  Performance evaluation of these methods on the same basis is prerequisite for selecting an alternative approach in accordance with available da...

The study was conducted to evaluate performance of artificial neural network (ANN) models for estimating reference evapotranspiration (ET0) semi-arid region Haryana state. Ten years (2011-2020) daily weather data maximum and minimum temperature, relative humidity, wind speed sun shine hours collected from the meteorological observatory at CCS HAU, Hisar. Multilayer perceptron feed forward back ...