[HTML][HTML] 25 years of the WOFOST cropping systems model

A De Wit, H Boogaard, D Fumagalli, S Janssen… - Agricultural systems, 2019 - Elsevier
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 …

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 …

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 …

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 …

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)) …

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 …

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 …

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 …

Exploitation of SAR and optical sentinel data to detect rice crop and estimate seasonal dynamics of leaf area index

M Campos-Taberner, FJ García-Haro, G Camps-Valls… - Remote Sensing, 2017 - mdpi.com
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 …

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 …