Regional-scale rice-yield estimation using stacked auto-encoder with climatic and MODIS data: a case study of South Korea

Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model

(2018) Tri Setiyono et al.   Remote Sensing

Unknown

(2017)   Journal of Field Robotics

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping

(2016) Weijia Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

Wi-Fi/MARG Integration for Indoor Pedestrian Localization

(2016) Zengshan Tian et al.   SENSORS

Deep learning

(2015) Yann LeCun et al.   NATURE

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

(2015) Mostafa Mosleh et al.   SENSORS

Sparse auto-encoder based feature learning for human body detection in depth image

(2015) Song-Zhi Su et al.   SIGNAL PROCESSING

A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation

(2014) N.T. Son et al.   AGRICULTURAL AND FOREST METEOROLOGY

Prediction of dry direct-seeded rice yields using chlorophyll meter, leaf color chart and GreenSeeker optical sensor in northwestern India

(2014) A.M. Ali et al.   FIELD CROPS RESEARCH

Predicting maize yield in Zimbabwe using dry dekads derived from remotely sensed Vegetation Condition Index

(2014) Farai Kuri et al.   International Journal of Applied Earth Observation and Geoinformation

Predictive ability of machine learning methods for massive crop yield prediction

(2014) Alberto Gonzalez-Sanchez et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH

Predictive models for yield and protein content of brown rice using support vector machine

(2013) Keisuke Saruta et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAA's-AVHRR

(2013) Jingfeng Huang et al.   PLoS One

A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam

(2013) Nguyen-Thanh Son et al.   Remote Sensing

Climate change impacts on water storage requirements of an agricultural reservoir considering changes in land use and rice growing season in Korea

(2012) Yoo Seung-Hwan et al.   AGRICULTURAL WATER MANAGEMENT

Continuous Monitoring of Rice Growth With a Stable Ground-Based Scatterometer System

(2012) Yihyun Kim et al.   IEEE Geoscience and Remote Sensing Letters

Estimating regional wheat yield from the shape of decreasing curves of green area index temporal profiles retrieved from MODIS data

(2012) Louis Kouadio et al.   International Journal of Applied Earth Observation and Geoinformation

Uncertainty of paddy irrigation requirement estimated from climate change projections in the Geumho river basin, Korea

(2012) Sang-Ok Chung et al.   Paddy and Water Environment

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing

An incorporative statistic and neural approach for crop yield modelling and forecasting

(2011) William W. Guo et al.   NEURAL COMPUTING & APPLICATIONS

Site-specific early season potato yield forecast by neural network in Eastern Canada

(2011) Jérôme G. Fortin et al.   PRECISION AGRICULTURE

Large-area rice yield forecasting using satellite imageries

(2009) Yi-Ping Wang et al.   International Journal of Applied Earth Observation and Geoinformation

A scheme for regional rice yield estimation using ENVISAT ASAR data

(2009) ShuangHe Shen et al.   Science in China. Series D, Earth sciences / Chinese Academy of Sciences

Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

(2008) R. Alvarez   EUROPEAN JOURNAL OF AGRONOMY