Results 41 to 50 of about 5,796 (199)
The simulation of cropping sequences using DSSAT
, 1998 The crop models that are distributed with DSSAT version 3 permit the simulation of long-term cropping sequences. This added capability enhances the value of crop growth models as a tool for analyzing the long-term consequences of management practices on a site-specific basis.
Bowen, W.T. +2 more
openaire +2 more sources
Impact of climate change using CRAFT: a case study for West Africa [PDF]
, 2020 The CGIAR research program on Climate Change, Agriculture and Food Security Program’s (CCAFS) Regional Agricultural Forecasting Toolbox (CRAFT) is a framework for multi-scale spatial gridded simulations using an ensemble of crop models.
Faye, Babacar +3 more
core
Methodology for the use of DSSAT models for precision agriculture decision support [PDF]
, 2008 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 +3 more sources
Validation of CERES-RICE Model in Wetland Condition using DSSAT-4.5
International Journal of Current Microbiology and Applied Sciences, 2021 An agro-meteorological investigation was undertaken on “Crop weather pest relationship and validation of DSSAT model for rice varieties under different transplanting dates’’ during kharif, 2016 and 2017 at Agricultural Research Station Farm, Vadgaon Maval, Dist.
P. Deshmukh S. B. Kharbade +2 more
openaire +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Land, 2023 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
Using CERES-maize and ENSO as decision support tools to evaluate climate-sensitive farm management practices for maize production in the northern regions of Ghana [PDF]
, 2017 Open Access JournalMaize (Zea mays) has traditionally been a major cereal staple in southern Ghana. Through breeding and other crop improvement efforts, the zone of cultivation of maize has now extended to the northern regions of Ghana which, hitherto ...
Adiku, Samuel G.K. +4 more
core +2 more sources
A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content
Journal of Plant Nutrition and Soil Science, Volume 189, Issue 1, Page 117-130, February 2026.ABSTRACT Background Precision agriculture (PA) is a site‐specific management approach that utilises spatiotemporal information to improve productivity while also promoting sustainability. Accurate estimates of soil properties, along with the uncertainty of these estimates, are necessary for decision‐making in PA.
Leonardo Inforsato +6 more
wiley +1 more source
A High‐Precision Crop Water Footprint Quantification Framework Based on Data Assimilation
Water Resources Research, Volume 62, Issue 2, February 2026.Abstract Agricultural production is a major consumer of water resources, and the crop water footprint (CWF) serves as a comprehensive metric for assessing agricultural water use efficiency and its associated impacts, thereby providing new insights for agricultural water management.
Ting Bai +8 more
wiley +1 more source
Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 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