Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

(2020) Jichong Han et al.   Remote Sensing

Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

(2020) Juan Cao et al.   Remote Sensing

Using paired thermal and hyperspectral aerial imagery to quantify land surface temperature variability and assess crop stress within California orchards

(2019) Sarah W. Shivers et al.   REMOTE SENSING OF ENVIRONMENT

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

(2019) Aleksandra Wolanin et al.   REMOTE SENSING OF ENVIRONMENT

A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat

(2019) Syed Haleem Shah et al.   Remote Sensing

Crop Yield Prediction Using Deep Neural Networks

(2019) Saeed Khaki et al.   Frontiers in Plant Science

Deep learning – Method overview and review of use for fruit detection and yield estimation

(2019) Anand Koirala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Smallholder maize area and yield mapping at national scales with Google Earth Engine

(2019) Zhenong Jin et al.   REMOTE SENSING OF ENVIRONMENT

Closing yield gaps for rice self-sufficiency in China

(2019) Nanyan Deng et al.   Nature Communications

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

(2019) Yaping Cai et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches

(2019) Liangliang Zhang et al.   Remote Sensing

Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2

(2018) Kaiyu Guan et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

(2018) Yaping Cai et al.   REMOTE SENSING OF ENVIRONMENT

Forecasting wheat and barley crop production in arid and semi-arid regions using remotely sensed primary productivity and crop phenology: A case study in Iraq

(2018) Sarchil Hama Qader et al.   SCIENCE OF THE TOTAL ENVIRONMENT

TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015

(2018) John T. Abatzoglou et al.   Scientific Data

Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data

(2018) Yi Chen et al.   EUROPEAN JOURNAL OF AGRONOMY

Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review

(2018) Jacinta Holloway et al.   Remote Sensing

Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning

(2018) C. Folberth et al.   AGRICULTURAL AND FOREST METEOROLOGY

High Resolution Global Contiguous Solar‐Induced Chlorophyll Fluorescence (SIF) of Orbiting Carbon Observatory‐2 (OCO‐2)

(2018) L. Yu et al.   GEOPHYSICAL RESEARCH LETTERS

Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau

(2018) Juan Cao et al.   CATENA

Spatio-temporal patterns of winter wheat yield potential and yield gap during the past three decades in North China

(2017) Yi Chen et al.   FIELD CROPS RESEARCH

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8

(2017) Matthias Drusch et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries

(2017) George Azzari et al.   REMOTE SENSING OF ENVIRONMENT

Accurate prediction of sugarcane yield using a random forest algorithm

(2016) Yvette Everingham et al.   Agronomy for Sustainable Development

Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model

(2015) Jianxi Huang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence

(2015) Kaiyu Guan et al.   GLOBAL CHANGE BIOLOGY

Estimating chlorophyll content and photochemical yield of photosystem II (ΦPSII) using solar-induced chlorophyll fluorescence measurements at different growing stages of attached leaves

(2015) Bayaer Tubuxin et al.   JOURNAL OF EXPERIMENTAL BOTANY

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

Deep learning

(2015) Yann LeCun et al.   NATURE

A scalable satellite-based crop yield mapper

(2015) David B. Lobell et al.   REMOTE SENSING OF ENVIRONMENT

Temperature variations and rice yields in China: historical contributions and future trends

(2014) Pin Wang et al.   CLIMATIC CHANGE

Global warming over 1960–2009 did increase heat stress and reduce cold stress in the major rice-planting areas across China

(2014) Zhao Zhang et al.   EUROPEAN JOURNAL OF AGRONOMY

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence

(2014) L. Guanter et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Climatic and technological ceilings for Chinese rice stagnation based on yield gaps and yield trend pattern analysis

(2013) Tianyi Zhang et al.   GLOBAL CHANGE BIOLOGY

An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

(2013) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

Distinguishing between yield advances and yield plateaus in historical crop production trends

(2013) Patricio Grassini et al.   Nature Communications

The critical role of extreme heat for maize production in the United States

(2013) David B. Lobell et al.   Nature Climate Change

Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection

(2013) Felix Rembold et al.   Remote Sensing

The use of satellite data for crop yield gap analysis

(2012) David B. Lobell   FIELD CROPS RESEARCH

Changes in rice disasters across China in recent decades and the meteorological and agronomic causes

(2012) Fulu Tao et al.   Regional Environmental Change

Global warming over the period 1961–2008 did not increase high-temperature stress but did reduce low-temperature stress in irrigated rice across China

(2011) Wen Sun et al.   AGRICULTURAL AND FOREST METEOROLOGY

A soil particle-size distribution dataset for regional land and climate modelling in China

(2011) Wei Shangguan et al.   GEODERMA

Nonlinear heat effects on African maize as evidenced by historical yield trials

(2011) David B. Lobell et al.   Nature Climate Change

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

Current Status and Challenges of Rice Production in China

(2008) Shaobing Peng et al.   PLANT PRODUCTION SCIENCE