Results 101 to 110 of about 5,112 (213)

Assimilating in situ soil moisture measurements into the DSSAT-CSM using a Kalman filter [PDF]

, 2011
With the ability to monitor soil moisture in time comes the opportunity to develop ways to incorporate these measurements into predictive models, without compromising or overriding the model physics. The importance of soil moisture to the growth of crops
Groenendyk, Derek, Kaleita, Amy, Kaleita, Amy, Thorp, Kelly   +3 more
core   +2 more sources

Modelo de balanço de nitrogênio para cana-de-açúcar: fase I - análise teórica e ajustes. [PDF]

, 2012
O Brasil é o maior produtor mundial de cana-de-açúcar, sendo que a queima da palha do canavial visando facilitar a colheita ainda é muito praticada. Essa prática vem sendo questionada pela alta emissão de gases, além de provocar perdas de nutrientes para
BERGAMASCO, A. F., RODRIGUES, L. H. A., SILVA, F. C. da, TRIVELIN, P. C. O.   +3 more
core  

Assessing the sweet sorghum-based ethanol potential on saline-alkali land with DSSAT model and LCA approach. [PDF]

Biotechnol Biofuels, 2021
Fu J, Yan X, Jiang D.
europepmc   +1 more source

Evaluation of DSSAT-CANEGRO model for phenology and yield attributes of sugarcane grown in different agroclimatic zones of Punjab, India

Journal of Agrometeorology, 2018
DSSAT-CANEGRO model was calibrated and validated for four sugarcane cultivars planted at three dates in two agroclimatic zones of Indian Punjab. For calibration two years (2015-16 and 2016-17) data on phenological stages, growth and yield attributes of ...
JASHANDEEP SINGH, S.K. MISHRA, P.K. KINGRA, KULDEEP SINGH, BARUN BISWAS, VIKRANT SINGH   +5 more
doaj   +1 more source

Evaluating the Efficiency of Crop Index Insurance Products [PDF]

Index crop insurance products can eliminate the asymmetric information problem inherent in farm-level multiple peril crop insurance. Purchasers of index insurance products are, however, exposed to basis risk.
Barnett, Barry J., Deng, Xiaohui, Garcia, Axel, Hoogenboom, Gerrit, Yu, Yingzhuo   +4 more
core   +1 more source

CliCrop: a Crop Water-Stress and Irrigation Demand Model for an Integrated Global Assessment Model Approach [PDF]

, 2012
http://globalchange.mit.edu/research/publications/2264This paper describes the use of the CliCrop model in the context of climate change general assessment modeling.
Awadalla, S., Blanc, E., Fant, C.A., Farmer, W., Gueneau, A., Schlosser, C.A., Strzepek, K.   +6 more
core  

Mapping the Evolution of DSSAT Model Research: Trends, Transitions, and Future Frontiers

Agronomy
This study presents a comprehensive bibliometric analysis of the DSSAT crop modeling field from 1990 to 2024, identifying its evolutionary trajectory and emerging frontiers.
Shikai Gao, Pengcheng He, Yuliang Fu, Yanbin Li, Hongfei Wang, Qian Wang, Aofeng He, Yihao Liu, Wei Zeng, Hao Li, Xiaochuan Chen, Xinru Liu, Tianli Ren, Yaobin Wang, Xuewen Gong   +14 more
doaj   +1 more source

Climate change, agricultural production and food security: Evidence from Yemen [PDF]

, 2011
This paper provides a model-based assessment of local and global climate change impacts for the case of Yemen, focusing on agricultural production, household incomes and food security. Global climate change is mainly transmitted through rising world food
Al-Riffai, Perrihan, Breisinger, Clemens, Ecker, Olivier, Robertson, Richard, Thiele, Rainer, Wiebelt, Manfred   +5 more
core  

Avaliação do modelo CANEGRO/DSSAT para quatro cultivares de cana-de-açúcar. [PDF]

, 2020
A parametrização do modelo DSSAT/CANEGRO para a realidade brasileira é de grande importância para a obtenção de uma ferramenta para o monitoramento de safras agrícolas e para a elaboração de cenários agrícolas futuros.
DONZELLI, J. L., MARIN, F. R., NASSIF, D. S. P., PALLONE, W. J., POLZER, D. L., SAKAI, R. H., SUGUITANI, C., VIANA, M. S.   +7 more
core  

Integration of CERES-rice crop simulation model and MODIS LAI (MOD15A2) for rice yield estimation

Journal of Agrometeorology
In this study assimilation of MODIS LAI (MOD15A2) into DSSAT-CERES-rice crop simulation model was used to develop advance yield estimates of rice crop during pre-harvest stage (F3) in Palakkad district of Kerala during Mundakan (September- January ...
K. AJITH, V. GEETHALAKSHMI, K. BHUVANESWAR, P. SHAJEESH JAN, ANU SUSAN SAM, AJAI P. KRISHNA   +5 more
doaj   +1 more source