Estimating Farm Wheat Yields from NDVI and Meteorological Data

Estimating hourly incoming solar radiation from limited meteorological data

Frank Forcella USDA-ARS North Central Soil Conservation Research Laboratory, 803 Iowa Avenue, Morris, MN 56267 Two major properties that determine weed seed germination are soil temperature and moisture content. Incident radiation is the primary variable controlling energy input to the soil system and thereby influences both moisture and temperature profiles. However, many agricultural field si...

Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data

Many time-series smoothing methods can be used for reducing noise and extracting plant phenological parameters from remotely-sensed data, but there is still no conclusive evidence in favor of one method over others. Here we use moderate-resolution imaging spectroradiometer (MODIS) derived normalized difference vegetation index (NDVI) to investigate five smoothing methods: Savitzky-Golay fitting...

estimating solar radiation with ordinary meteorological data in mashhad

one of the most main head in governments is to achieve the energy for their countries. as the fossil sources are at their ends and also they cause greenhouse emission and environment pollution, shifting to renewable sources of energy is an indispensable alternative for most countries. the sun is the most important renewable energy source. to assessment reachable solar radiation in mashhad from ...

Estimating Soil Moisture Profile Dynamics from Near-surface Soil Moisture Measurements and Standard Meteorological Data

predicting dryland wheat yield from meteorological data using expert system, khorasan province, iran

khorasan province is one of the most important provinces of iran, especially as regards agricultural products. the prediction of crop yield with available data has important effects on socio-economic and political decisions at the regional scale. this study shows the ability of artificial neural network (ann) technology and adaptive neuro-fuzzy inference systems (anfis) for the prediction o...