Results 11 to 20 of about 5,796 (199)

jDSSAT: A JavaScript Module for DSSAT-CSM integration

SoftwareX, 2019
The DSSAT is a collection of computer programs and tools integrated into a single software package in order to facilitate the application of crop simulation models in research and decision making. The DSSAT Shell, an user interface program, enables users
Jonas de Abreu Resenes, Willingthon Pavan, Carlos Amaral Hölbig, José Maurício Cunha Fernandes, Vakhtang Shelia, Cheryl Porter, Gerrit Hoogenboom   +6 more
doaj   +2 more sources

AUTOMATION OF THE DSSAT CROP GROWTH SIMULATION MODEL [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
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, J. Mohammed Ahamed, K. Nagajothi, M. Rana, B. S. Murugan   +4 more
doaj   +3 more sources

Development of a Cereal–Legume Intercrop Model for DSSAT Version 4.8

Agriculture, 2023
Intercropping is extensively used to increase land productivity and agricultural benefits. In developing countries, intercropping has historically been one of the most widely used cropping systems.
Jacques Fils Pierre, Upendra Singh, Esaú Ruiz-Sánchez, Willingthon Pavan   +3 more
doaj   +2 more sources

IXIM: A new maize simulation model for DSSAT v4.5. [PDF]

, 2008
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., Jones, J.W., Lizaso Oñate, Jon Iñaqui, Porter, C.H.   +3 more
core   +4 more sources

Precise Assimilation Prediction of Short-Term and Long-Term Maize Irrigation Water Based on EnKF-DSSAT and Fuzzy Optimization-DSSAT Models

IEEE Access
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, Youxi Luo, Xinhang Wang, Xinran Wang, Chaozhu Hu   +4 more
doaj   +2 more sources

DSSAT-Lite: a web-based application for running crop models and analyzing results from DSSAT-CSM

Anais do XIII Congresso Brasileiro de Agroinformática (SBIAGRO 2021), 2021
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, Gerrit Hoogenboom, Alexandre Lazaretti Zanatta, Willingthon Pavan, Carlos Amaral Holbig   +4 more
openaire   +2 more sources

From Stand to Organ Level—A Trial of Connecting DSSAT and GreenLab Crop Model through Data

智慧农业, 2021
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, KANG Mengzhen, HUA Jing, Philippe DE REFFYE   +3 more
doaj   +1 more source

Assessment of rice yield gap under a changing climate in India

Journal of Water and Climate Change, 2021
Climate change evokes future food security concerns and needs for sustainable intensification of agriculture. The explicit knowledge about crop yield gap at country level may help in identifying management strategies for sustainable agricultural ...
Subhankar Debnath, Ashok Mishra, D. R. Mailapalli, N. S. Raghuwanshi, V. Sridhar   +4 more
doaj   +1 more source

Assessing the impacts of climate change on aerobic rice production using the DSSAT-CERES-Rice model

Journal of Water and Climate Change, 2021
This study assessed the impacts of climate change on aerobic rice production using the DSSAT-CERES-Rice model. Actual data observed from four cropping seasons in two sites were used for calibration and validation.
Lanie A. Alejo
doaj   +1 more source

Understanding rates of genetic gain in sorghum [Sorghum bicolor (L.) Moench] in the United States. [PDF]

Plant Genome
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, Merchant A, Mayor L, Mbaye M, Gho C, Cooper M, Messina CD.   +6 more
europepmc   +2 more sources