Results 11 to 20 of about 5,112 (213)
AUTOMATION OF THE DSSAT CROP GROWTH SIMULATION MODEL [PDF]
Crop Simulation Models (CSM) simulate the growth, development, and yield of crops using various inputs such as soil water, carbon and nitrogen processes, and management practices.
G. Sachin +4 more
doaj +3 more sources
IXIM: A new maize simulation model for DSSAT v4.5. [PDF]
The Decision Support System for Agrotechnology Transfer (DSSAT) is a suite of crop simulation models and associated tools for simulating growth, development, and yield of 25 crops.
Boote, Kenneth J. +3 more
core +4 more sources
With the progress of information technology, precision irrigation technology has become the core of modern agriculture. In particular, technologies such as Internet of Things (IoT), Big Data and Artificial Intelligence (AI) have provided strong support ...
Yanshu Yu +4 more
doaj +2 more sources
Methodology for the use of DSSAT models for precision agriculture decision support [PDF]
A prototype decision support system (DSS) called Apollo was developed to assist researchers in using the Decision Support System for Agrotechnology Transfer (DSSAT) crop growth models to analyze precision farming datasets.
Batchelor, William +5 more
core +5 more sources
DSSAT-Lite: a web-based application for running crop models and analyzing results from DSSAT-CSM
DSSAT is a set of tools that facilitate the creation and management of experiment, soil, and weather files. Its tools were built using programming languages like Visual Basic and Delphi, which are difficult to run remotely or in the cloud. In this work, we present DSSAT-Lite, a web-based application designed to facilitate the simulation of DSSAT-CSM ...
Jonas de Abreu Resenes +4 more
openaire +2 more sources
From Stand to Organ Level—A Trial of Connecting DSSAT and GreenLab Crop Model through Data
Crop models involve complex plant processes, which can be built in different scales of space and time, from molecule, cell, organ, tissue, individual to stand in space and from second to year in time.
WANG Xiujuan +3 more
doaj +1 more source
Aim of study: To evaluate the performance of DSSAT and AquaCrop models in the estimation of soybean and grain maize yield under water stress conditions in a semi-arid region. Area of study: Kermanshah, Iran.
Ali DEHGHAN MOROOZEH +3 more
doaj +1 more source
Crop model calibration and validation is vital for establishing their credibility and ability in simulating crop growth and yield. A split–split plot design field experiment was carried out with sowing dates (SD1, SD2 and SD3); maize cultivars (ZMS606 ...
Charles B. Chisanga +2 more
doaj +1 more source
Optimizing Deficit Irrigation for Sugarcane in Guangxi Province Using the DSSAT Model
【Background】 More than 85% of sugar crops in China are sugarcane and more than 90% of its sugar is made using sugarcane. The double whammy for sugarcane production in China is the dwindling water and soil resources and the increased demand for sugar ...
WANG Pengyu +3 more
doaj +1 more source
FARMs: A Geospatial Crop Modeling and Agricultural Water Management System
To ensure agricultural sustainability and desirable environmental outcomes, stakeholders need systems-based model-driven decision support tools. The objective of this study was to develop a global scale web-based geospatial crop modeling application ...
Jae Sung Kim, Isaya Kisekka
doaj +1 more source

