Spatial Analysis of Agronomic Data and UAV Imagery for Rice Yield Estimation

Rice Mapping and Growth Monitoring Based on Time Series GF-6 Images and Red-Edge Bands

(2021) Xueqin Jiang et al.   Remote Sensing

UAV- and Random-Forest-AdaBoost (RFA)-Based Estimation of Rice Plant Traits

(2021) Farrah Melissa Muharam et al.   Agronomy-Basel

Remote estimation of grain yield based on UAV data in different rice cultivars under contrasting climatic zone

(2021) Bo Duan et al.   FIELD CROPS RESEARCH

Global Rice Market Projections Distinguishing Japonica and Indica Rice under Climate Change

(2020) Tatsuji KOIZUMI et al.   JARQ-JAPAN AGRICULTURAL RESEARCH QUARTERLY

Multi-Spatial Resolution Satellite and sUAS Imagery for Precision Agriculture on Smallholder Farms in Malawi

(2020) Brad G. Peter et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China

(2020) Liang Wan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Remote Estimation of Rice Yield With Unmanned Aerial Vehicle (UAV) Data and Spectral Mixture Analysis

(2019) Bo Duan et al.   Frontiers in Plant Science

Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery

(2019) Feilong Wang et al.   Frontiers in Plant Science

Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery

(2017) X. Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluation of red and red-edge reflectance-based vegetation indices for rice biomass and grain yield prediction models in paddy fields

(2016) Yumiko Kanke et al.   PRECISION AGRICULTURE

Farm management information systems: Current situation and future perspectives

(2015) S. Fountas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor

(2015) Qiang Cao et al.   PRECISION AGRICULTURE

Application of Remote Sensors in Mapping Rice Area and Forecasting Its Production: A Review

(2015) Mostafa Mosleh et al.   SENSORS

Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China

(2015) Shanyu Huang et al.   Remote Sensing

Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV

(2014) J. Torres-Sánchez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images

(2014) Laigang Wang et al.   FIELD CROPS RESEARCH

Predicting Wheat Grain and Biomass Yield Using Canopy Reflectance of Booting Stage

(2014) S. Pradhan et al.   Journal of the Indian Society of Remote Sensing

Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor

(2013) Qiang Cao et al.   FIELD CROPS RESEARCH

Sensitivity Analysis of Vegetation Reflectance to Biochemical and Biophysical Variables at Leaf, Canopy, and Regional Scales

(2013) Yanfang Xiao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A visible band index for remote sensing leaf chlorophyll content at the canopy scale

(2012) E. Raymond Hunt et al.   International Journal of Applied Earth Observation and Geoinformation

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

Food Security: The Challenge of Feeding 9 Billion People

(2010) H. C. J. Godfray et al.   SCIENCE

Value of Using Different Vegetative Indices to Quantify Agricultural Crop Characteristics at Different Growth Stages under Varying Management Practices

(2010) Jerry L. Hatfield et al.   Remote Sensing