Scheduling Irrigations Using Climate-Crop-Soil Data
نویسندگان
چکیده
منابع مشابه
Evapotranspiration Estimation Using Soil Water Balance, Weather and Crop Data
The rise in water demand for agriculture, industry, domestic, and environmental needs requires sagacious use of this limited resource. Since agriculture (mainly irrigation) is the major user of water, improving agricultural water management is essential. Efficient agricultural water management requires reliable estimation of crop water requirement (evapotranspiration). Evapotranspiration (ET) i...
متن کاملUncertainty in soil data can outweigh climate impact signals in global crop yield simulations
Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data. Here we compare yield variability caused by the soil type selected for GGCM simulations to weat...
متن کاملAdjustment procedures of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation
Crop models can be useful tools for estimating crop growth status and yield on large spatial domains if their parameters and initial conditions values can be known for each point. By coupling a radiative transfer model with the crop model (through a canopy structure variable like LAI), it is possible to assimilate, for each point of the spatial domain, remote sensing variables (like reflectance...
متن کاملData Assimilation of Near-Surface In-Situ Soil Moisture Using the DSSAT Crop Model
Soil water is an important variable in agricultural environments as it contributes to yield response as well as areas of environmental concern including erosion, runoff, and nitrogen leaching (through deep drainage). Crop models have been established as a method for simulating agricultural production and examining ecosystem responses. However, because all crop models are based on limited system...
متن کاملSoil and Crop/Tree Segmentation from Remotely Sensed Data by using Digital Surface Models
The increased availability of high resolution remote sensor data for precision agriculture 1 applications permits users to aquire deeper and more relevant knowledge about crops states that lead 2 inevitably to better decisions. The algorithm libraries being developed and evolved around these 3 applications rely on multi-spectral or hyper-spectral data acquired by using manned or unmanned 4 plat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Irrigation and Drainage Division
سال: 1970
ISSN: 0044-7978,2690-3296
DOI: 10.1061/jrcea4.0000699