Site‐specific estimation of spatiotemporal crop evapotranspiration through field‐level sensing data

This study integrated field-level sensor data into the FAO-56 Penman-Monteith algorithm to provide a site-specific estimate of crop evapotranspiration. was carried out at two contrasting sites for pea and bean (Manawatū) barley (Hawke's Bay) crops managed within irrigation management zones, each site, under variable-rate systems in New Zealand. Daily evapotranspiration estimates were calculated using from weather station situated field site combined with in-field sensing (spectral reflectance, canopy temperature height). In addition, calibrated soil moisture used water balance model compare estimations daily those estimated method. The results indicated that variable responses different strategies types provided good opportunity quantify levels spectral consequently estimation use. statistical comparisons revealed modified compared well more conventional approach (R2 = 0.70, 0.83, 0.91 barley, bean, respectively). Overall, this approaches have potential easily determined than other methods, it can take consideration spatio-temporal variability growth field. article is protected by copyright. All rights reserved