[HTML][HTML] 25 years of the WOFOST cropping systems model
The WOFOST cropping systems model has been applied operationally over the last 25
years as part of the MARS crop yield forecasting system. In this paper we provide an …
years as part of the MARS crop yield forecasting system. In this paper we provide an …
Remote sensing-based estimation of rice yields using various models: A critical review
DMG dela Torre, J Gao… - Geo-Spatial Information …, 2021 - Taylor & Francis
Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …
management. Field-scale models have increased our understanding of rice yield and its …
Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
M Campos-Taberner, FJ García-Haro… - Remote Sensing of …, 2016 - Elsevier
This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …
Comparison of sensitivity analysis techniques: a case study with the rice model WARM
R Confalonieri, G Bellocchi, S Bregaglio, M Donatelli… - Ecological …, 2010 - Elsevier
The considerable complexity often included in biophysical models leads to the need of
specifying a large number of parameters and inputs, which are available with various levels …
specifying a large number of parameters and inputs, which are available with various levels …
Predicting rice blast disease: machine learning versus process-based models
DF Nettleton, D Katsantonis, A Kalaitzidis… - BMC …, 2019 - Springer
Background In this study, we compared four models for predicting rice blast disease, two
operational process-based models (Yoshino and Water Accounting Rice Model (WARM)) …
operational process-based models (Yoshino and Water Accounting Rice Model (WARM)) …
UAV-based biomass estimation for rice-combining spectral, TIN-based structural and meteorological features
Q Jiang, S Fang, Y Peng, Y Gong, R Zhu, X Wu, Y Ma… - Remote Sensing, 2019 - mdpi.com
Accurate estimation of above ground biomass (AGB) is very important for crop growth
monitoring. The objective of this study was to estimate rice biomass by utilizing structural …
monitoring. The objective of this study was to estimate rice biomass by utilizing structural …
On farm assessment of rice yield variability and productivity gaps between organic and conventional cropping systems under Mediterranean climate
S Delmotte, P Tittonell, JC Mouret, R Hammond… - European Journal of …, 2011 - Elsevier
Organic rice production is characterised by high yield variability and substantial productivity
gaps with respect to conventional systems. Variability may be accentuated in areas of erratic …
gaps with respect to conventional systems. Variability may be accentuated in areas of erratic …
Using boosted tree regression and artificial neural networks to forecast upland rice yield under climate change in Sahel
L Zhang, S Traore, J Ge, Y Li, S Wang, G Zhu… - … and Electronics in …, 2019 - Elsevier
Climate drivers are key stress factors affecting upland rice yields in Sahel because the
region is vulnerable to unfavorable weather and has a very low adaptive capacity. This study …
region is vulnerable to unfavorable weather and has a very low adaptive capacity. This study …
Exploitation of SAR and optical sentinel data to detect rice crop and estimate seasonal dynamics of leaf area index
This paper presents and evaluates multitemporal LAI estimates derived from Sentinel-2A
data on rice cultivated area identified using time series of Sentinel-1A images over the main …
data on rice cultivated area identified using time series of Sentinel-1A images over the main …
Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data
C Gilardelli, T Stella, R Confalonieri, L Ranghetti… - European journal of …, 2019 - Elsevier
Crop modeling and remote sensing are key tools to gain deeper understanding on cropping
system dynamics and, ultimately, to increase the sustainability of agricultural productions …
system dynamics and, ultimately, to increase the sustainability of agricultural productions …