The canopy temperature is a promising methodology for deficit irrigation scheduling. This measurement used to calculate the crop water stress index (CWSI), which needs estimation of non-water baseline (NWSB). In olive orchards, NWSB changed at different times day and throughout season. aim this work was evaluate simplified estimating allow reducing costs facilitate CWSI estimation. experiment p...

Yield prediction is of great significance in agricultural production. Remote sensing technology based on unmanned aerial vehicles (UAVs) offers the capacity non-intrusive crop yield with low cost and high throughput. In this study, a winter wheat field experiment three levels irrigation (T1 = 240 mm, T2 190 T3 145 mm) was conducted Henan province. Multispectral vegetation indices (VIs) canopy w...

This study was conducted to evaluate the feasibility of a mobile phone-based thermal and UAV-based multispectral imaging assess irrigation performance African eggplant. The used randomized block design (RBD) with sub-plots being irrigated at 100% (I100), 80% (I80) 60% (I60) calculated crop water requirements using drip. leaf moisture content monitored different soil conditions early, vegetative...

Abstract Estimation of crop water stress index (CWSI) and leaf area (LAI) over large-irrigation schemes requires the use cutting-edge technologies. Combinations remote sensing techniques with ground-truth data have become available for at catchment level. These approaches allow us to estimate actual evapotranspiration capability monitoring status saving irrigation in water-scarce regions. This ...

The quality of wine grapes in dry climates greatly depends on utilizing optimal amounts irrigation water during the growing season. Robust and accurate techniques are essential for assessing crop status grapevines so that both over-irrigation excessive deficits can be avoided. This study proposes a robust strategy to assess grapevines. Experiments were performed Riesling (Vitis vinfera L.) plan...