Results 21 to 30 of about 5,112 (213)
Energy balance in the DSSAT-CSM-CROPGRO model
Abstract One potential way to improve crop growth models is for the models to predict energy balance and evapotranspiration (ET) from first principles, thus serving as a check on “engineered” ET methodology. In this paper, we present new implementations and the results of an energy balance model (EBL) developed by Jagtap and Jones (1989) and then ...
Cuadra, Santiago V +4 more
openaire +2 more sources
Selection of alfalfa water and nitrogen management regimes based on the DSSAT model. [PDF]
Forage crop production globally faces challenges of low water and nitrogen use efficiency alongside increased environmental pressures, particularly in arid and semi-arid regions. The Hetao Irrigation District, a representative area of such regions, is characterized by limited rainfall, high evaporation, insufficient water, and severe soil salinization,
Lv M +7 more
europepmc +4 more sources
Understanding rates of genetic gain in sorghum [Sorghum bicolor (L.) Moench] in the United States. [PDF]
Abstract The loss of agricultural biodiversity will compromise societal ability to proof the food system against abiotic and biotic perturbations. The steady decrease in planted area of sorghum [Sorghum bicolor (L.) Moench] in the United States is alarming.
Singh J +6 more
europepmc +2 more sources
Evaluation of DSSAT-CROPGRO-Canola Model to Simulate Growth and Yield of Two Canola (Brassica napus L.) Cultivars in Karaj [PDF]
IntroductionCanola (Brassica napus L.) is known as the third most important oil crop in the world and is now cultivated over a large area of the world's farms in rotation with various crops, especially cereals (Reddy and Redi, 2003).
Gelareh Goodarzi +4 more
doaj +1 more source
MULTI STAGE WHEAT YIELD ESTIMATION USING DIFFERENT MODEL UNDER SEMI ARID REGION OF INDIA [PDF]
Crop yield estimation before harvest is required for marketing, pricing, storage, import, export etc. Productivity of cropping systems under various weather, management and policy scenarios can be predicted successfully by simulation models.
A. Vashisth, P. Krishanan, D. K. Joshi
doaj +1 more source
Yield estimations at global or regional spatial scales have been compromised due to poor crop model calibration. A methodology for estimating the genetic parameters related to grain growth and yield for the CERES-Wheat crop model is proposed based on ...
Melpomeni Nikou, Theodoros Mavromatis
doaj +1 more source
Simulation Effects of Sowing Date on Growth and Yield of Rainfed Chickpea (Cicer arientinum L.) by CROPGRO-CHICKPEA Model [PDF]
Introduction Simulation crop models allow to represent growth, phenological development and yield of crops and to evaluate new technologies or conditions not yet explored. The DSSAT (Decision Support System for Agrotechnology Transfer) is one of the most
H Hajishabani, F Mondani, A Bagheri
doaj +1 more source
The DSSAT cropping system model
The decision support system for agrotechnology transfer (DSSAT) has been in use for the last 15 years by researchers worldwide. This package incorporates models of 16 different crops with software that facilitates the evaluation and application of the crop models for different purposes.
Agricultural and Biological Engineering Department, P.O. Box 110570, University of Florida, Gainesville, FL, USA ( host institution ) +10 more
openaire +2 more sources
Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning
In this article, our aim is to estimate synthetic aperture radar (SAR) observables, such as backscatter in VV and VH polarizations, as well as the VH/VV ratio, cross ratio, and interferometric coherence in VV, from agricultural fields.
Tina Nikaein +4 more
doaj +1 more source
Decision support systems are key for yield improvement in modern agriculture. Crop models are decision support tools for crop management to increase crop yield and reduce production risks.
Aftab Wajid +5 more
doaj +1 more source

