نتایج جستجو برای: dssat

تعداد نتایج: 230  

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2023

Dependency stochastic Boolean satisfiability (DSSAT) generalizes (SSAT) in existential variables being Henkinized allowing their dependencies on randomized to be explicitly specified. It allows NEXPTIME problems of reasoning under uncertainty and partial information compactly encoded. To date, no decision procedure has been implemented for solving DSSAT formulas. This work provides the first su...

2012
K. R. Thorp G. Wang K. F. Bronson J. W. White

a r t i c l e i n f o Keywords: Crop model CSM DSSAT Genetic algorithm Hyperspectral LAI Model inversion Nitrogen Optimization PEST PROSAIL Simulation Wheat Yield Remote sensing technology can rapidly provide spatial information on crop growth status, which ideally could be used to invert radiative transfer models or ecophysiological models for estimating a variety of crop biophysical propertie...

2011
V. VUČETIĆ

Maize is one of the most important agricultural crops in Croatia, and was selected for research of the effect of climate warming on yields. The Decision Support System for the Agrotechnology Transfer model (DSSAT) is one of the most utilized crop-weather models in the world, and was used in this paper for the investigation of maize growth and production in the present and future climate. The im...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بیرجند - دانشکده کشاورزی و منابع طبیعی 1391

چکیده یکی از مهمترین ابزارهای برنامه ریزی به منظور تأمین به موقع محصولات زراعی پیش بینی عملکرد این محصولات قبل از برداشت است. شناخت پارامترهای آب و هوایی و اثر آنها روی گیاهان زراعی یکی از مهمترین عوامل موثر در افزایش عملکرد و به تبع آن بالا بردن تولید می باشد. بنابراین شناخت معیارهای اقلیمی موثر بر میزان محصول بسیار حائز اهمیت است، زیرا با تهیه مدل هایی برای پیش بینی محصول می توان برنامه ریزی...

Journal: :Geoscientific Model Development 2021

Abstract. The Decision Support System for Agrotechnology Transfer Cropping Systems Model (DSSAT-CSM) is a widely used crop modeling system that has been integrated into large-scale frameworks. Existing frameworks generate spatially explicit simulated outputs at grid points through an inefficient process of translation from binary referenced inputs to point-specific text input files, followed by...

2010
Bruno Basso Osvaldo Gargiulo Keith Paustian Philip Robertson Cheryl Porter

69 Soil Sci. Soc. Am. J. 75:69–78 Posted online 30 Nov. 2010 doi:10.2136/sssaj2010.0115 Received 11 Mar. 2010. *Corresponding author ([email protected]). © Soil Science Society of America, 5585 Guilford Rd., Madison WI 53711 USA All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, reco...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019

Journal: :Agricultural and Forest Meteorology 2021

One potential way to improve crop growth models is for the 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 results of an model (EBL) developed by Jagtap Jones (1989) then implemented in DSSAT's CROPGRO (CG-EBL) Pickering et al. (1995) linked balance-photosynthesis that...

Journal: :Environmental Modelling and Software 2015
Richard T. McNider C. Handyside K. Doty Walter L. Ellenburg James F. Cruise John R. Christy D. Moss V. Sharda Gerrit Hoogenboom Peter Caldwell

The present paper discusses a coupled gridded crop modeling and hydrologic modeling system that can examine the benefits of irrigation and costs of irrigation and the coincident impact of the irrigation water withdrawals on surface water hydrology. The system is applied to the Southeastern U.S. The system tools to be discussed include a gridded version (GriDSSAT) of the crop modeling system DSS...

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