标题
Yield forecasting with machine learning and small data: What gains for grains?
作者
关键词
Remote sensing, Agriculture, Yield forecasting, Meteorological data, Machine learning
出版物
AGRICULTURAL AND FOREST METEOROLOGY
Volume 308-309, Issue -, Pages 108555
出版商
Elsevier BV
发表日期
2021-07-24
DOI
10.1016/j.agrformet.2021.108555
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt
- (2020) Aleksandra Wolanin et al. Environmental Research Letters
- Integrating multiple land cover maps through a multi-criteria analysis to improve agricultural monitoring in Africa
- (2020) A. Pérez-Hoyos et al. International Journal of Applied Earth Observation and Geoinformation
- A systematic review of local to regional yield forecasting approaches and frequently used data resources
- (2020) Bernhard Schauberger et al. EUROPEAN JOURNAL OF AGRONOMY
- Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
- (2019) Yaping Cai et al. AGRICULTURAL AND FOREST METEOROLOGY
- High temporal resolution of leaf area data improves empirical estimation of grain yield
- (2019) François Waldner et al. Scientific Reports
- Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
- (2019) Elisa Kamir et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Strengthening agricultural decisions in countries at risk of food insecurity: The GEOGLAM Crop Monitor for Early Warning
- (2019) Inbal Becker-Reshef et al. REMOTE SENSING OF ENVIRONMENT
- Synergistic integration of optical and microwave satellite data for crop yield estimation
- (2019) Anna Mateo-Sanchis et al. REMOTE SENSING OF ENVIRONMENT
- Nationwide crop yield estimation based on photosynthesis and meteorological stress indices
- (2019) Yang Chen et al. AGRICULTURAL AND FOREST METEOROLOGY
- A comparison of global agricultural monitoring systems and current gaps
- (2018) Steffen Fritz et al. AGRICULTURAL SYSTEMS
- Near real-time vegetation anomaly detection with MODIS NDVI: Timeliness vs. accuracy and effect of anomaly computation options
- (2018) Michele Meroni et al. REMOTE SENSING OF ENVIRONMENT
- National-scale cropland mapping based on spectral-temporal features and outdated land cover information
- (2017) François Waldner et al. PLoS One
- The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields
- (2017) Kaiyu Guan et al. REMOTE SENSING OF ENVIRONMENT
- Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods
- (2016) Michael D. Johnson et al. AGRICULTURAL AND FOREST METEOROLOGY
- Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level
- (2015) Raúl López-Lozano et al. AGRICULTURAL AND FOREST METEOROLOGY
- Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information
- (2015) B. Franch et al. REMOTE SENSING OF ENVIRONMENT
- The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
- (2015) Chris Funk et al. Scientific Data
- A phenology-based method to derive biomass production anomalies for food security monitoring in the Horn of Africa
- (2014) Michele Meroni et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale
- (2014) Louis Kouadio et al. Remote Sensing
- Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
- (2013) Felix Rembold et al. Remote Sensing
- Remote Sensing Based Yield Estimation in a Stochastic Framework — Case Study of Durum Wheat in Tunisia
- (2013) Michele Meroni et al. Remote Sensing
- Monitoring regional wheat yield in Southern Spain using the GRAMI model and satellite imagery
- (2012) F.L.M. Padilla et al. FIELD CROPS RESEARCH
- A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data
- (2010) I. Becker-Reshef et al. REMOTE SENSING OF ENVIRONMENT
- A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index
- (2007) Benoît Duchemin et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco
- (2007) Riad Balaghi et al. International Journal of Applied Earth Observation and Geoinformation
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