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Effect of study area extent on the potential distribution of Species: A case study with models for Raoiella indica Hirst (Acari: Tenuipalpidae). Author(s): AMARO, G. C.; FIDELIS, E. G. Ecological niche models are used to quantify the relationships between known occurrence records of a given species and environmental variables at these locations. Maxent is among the most widely used... ... Repository: BDPA Publication year: 2023
Improving crop pest/disease modeling. One of the biggest accomplishments in human history has been the domestication of plants, providing a more continuous food supply and promoting the conformation of sedentary agricultural groups (Pérez... ... Repository: BDPA Publication year: 2019
An analytic representation of the total soil carbon trajectory implied by the general mathematical framework of most soil carbon models. Author(s): BOAS, P. R. V.; BARIONI, L. G. In this work we propose such a representation for the total carbon trajectory whose generality embraces implicitly the mechanism of models as Century, RothC and CQESTR. Repository: BDPA Publication year: 2021
AgroDB - integration of database management systems with crop models. Repository: BDPA Publication year: 2016
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. Author(s): MARIN, F. R. This study reveals the spatial and temporal patterns of uncertainty variability for a highly parameterized agro-LSM and calls for more systematic uncertainty analyses of such models. Repository: BDPA Publication year: 2014
Modeling sugarcane development and growth within ECOSMOS .biophysical model. Author(s): CUADRA, S. V.; CABRAL, O. M. R.; VICTORIA, D. de C.; MARAFON, A. C.; ANDRADE JUNIOR, A. S. de; SILVA, S. D. dos A. e; BUFON, V. B. Sugarcane plays an important role in electricity and sugar production and is a viable biofuel. Developing and optimizing a mechanism that can predict crop growth and yield at different spatiotemporal... ... Repository: BDPA Publication year: 2024
Agroenvironmental modeling and the digital transformation of agriculture. Author(s): CUADRA, S. V.; VICTORIA, D. de C.; PELLEGRINO, G. Q.; BOLFE, E. L.; MONTEIRO, J. E. B. de A.; ASSAD, E. D.; OLIVEIRA, A. F. de; FASIABEN, M. do C. R.; MARTHA JÚNIOR, G. B.; BATISTELLA, M.; BARIONI, L. G.; NAKAI, A. M.; SILVA, F. C. da; MATSUURA, M. I. da S. F. Introduction. The evolution of agroenvironmental modelling. Agroenvironmental modeling products to support decision-making. Databases for agricultural and environmental research: Agritempo, Conprees.... ... Repository: BDPA Publication year: 2023
Exploring spatial patterns of GCM projection bias via model based geostatistics. Author(s): MAIA, A. de H. N.; HAMADA, E.; GONDIM, R. S. General Circulation Models (GCMs) are numerical models developed to represent physical processes in the atmosphere, ocean, cryosphere and land surface. They constitute the most advanced tool currently... ... Repository: BDPA Publication year: 2013
Hydrological modeling of the Ribeirão das Posses: an assessment based on the Agricultural Ecosystem Services (AgES) watershed model. Abstract: Southeastern Brazil has recently experienced drought conditions that have impacted watershed conservation and the management of water quality and quantity for agricultural and urban demands.... ... Repository: BDPA Publication year: 2017
Are soybean models ready for climate change food impact assessments? Author(s): CUADRA, S. V.; SILVA, F. A. M. da Abstract. An accurate estimation of crop yield under climate change scenarios is essential to quantify our ability to feed a growing population and develop agronomic adaptations to meet future food de... ... Repository: BDPA Publication year: 2022

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