Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV

Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas

(2020) Alessandro Lapini et al.   Remote Sensing

Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery

(2020) J. Senthilnath et al.   Remote Sensing

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

UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture

(2020) Vittorio Mazzia et al.   SENSORS

Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing

(2020) Huichun Ye et al.   Remote Sensing

A Calibration Procedure for Field and UAV-Based Uncooled Thermal Infrared Instruments

(2020) Bruno Aragon et al.   SENSORS

Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform

(2019) Yahui Guo et al.   Sustainability

Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera

(2019) Adnane Beniaich et al.   Semina-Ciencias Agrarias

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

Adjusting sowing date and cultivar shift improve maize adaption to climate change in China

(2019) Zunfu Lv et al.   Mitigation and Adaptation Strategies for Global Change

Ground Deformation Analysis Using InSAR and Backpropagation Prediction with Influencing Factors in Erhai Region, China

(2019) Wang et al.   Sustainability

Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

(2019) Xiangyu Ge et al.   PeerJ

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Closing yield gaps for rice self-sufficiency in China

(2019) Nanyan Deng et al.   Nature Communications

Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture

(2019) Junho Yeom et al.   Remote Sensing

Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning

(2019) Ethan L. Stewart et al.   Remote Sensing

A Hierarchical Airport Detection Method Using Spatial Analysis and Deep Learning

(2019) Fanxuan Zeng et al.   Remote Sensing

Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales

(2019) Zhu et al.   Remote Sensing

Predicting Zea mays Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images

(2019) Guosheng Wu et al.   Frontiers in Plant Science

Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries

(2019) Xingbang Hu et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Modelling maize phenology, biomass growth and yield under contrasting temperature conditions

(2018) Na Wang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Impact of high temperatures in maize: Phenology and yield components

(2018) J.I. Lizaso et al.   FIELD CROPS RESEARCH

Reconstructed Solar-Induced Fluorescence: A Machine Learning Vegetation Product Based on MODIS Surface Reflectance to Reproduce GOME-2 Solar-Induced Fluorescence

(2018) P. Gentine et al.   GEOPHYSICAL RESEARCH LETTERS

Multi-scale hierarchical sampling change detection using Random Forest for high-resolution satellite imagery

(2018) Ting Bai et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

(2018) Andrew Crane-Droesch   Environmental Research Letters

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model

(2018) Tingting Ye et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery

(2017) Xiuliang Jin et al.   REMOTE SENSING OF ENVIRONMENT

Estimating grassland LAI using the Random Forests approach and Landsat imagery in the meadow steppe of Hulunber, China

(2017) Zhen-wang LI et al.   Journal of Integrative Agriculture

Estimation of Wheat Plant Density at Early Stages Using High Resolution Imagery

(2017) Shouyang Liu et al.   Frontiers in Plant Science

Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAV

(2016) J. Senthilnath et al.   BIOSYSTEMS ENGINEERING

A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index

(2016) Jin Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Yield gap simulations using ten maize cultivars commonly planted in Northeast China during the past five decades

(2015) Shuo Lv et al.   AGRICULTURAL AND FOREST METEOROLOGY

Temporal and spatial changes of maize yield potentials and yield gaps in the past three decades in China

(2015) Fulu Tao et al.   AGRICULTURE ECOSYSTEMS & ENVIRONMENT

Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images

(2015) Sebastian Candiago et al.   Remote Sensing

Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

(2014) Tao Li et al.   GLOBAL CHANGE BIOLOGY

Leaf Area Index Estimation Using Vegetation Indices Derived From Airborne Hyperspectral Images in Winter Wheat

(2014) Qiaoyun Xie et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification

(2014) Swarnajyoti Patra et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery

(2013) Ujjwal Maulik et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spatial variability of climate change impacts on yield of rice and wheat in the Indian Ganga Basin

(2013) Ashok Mishra et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Maize potential yields and yield gaps in the changing climate of northeast China

(2012) Zhijuan Liu et al.   GLOBAL CHANGE BIOLOGY

Estimating Rice Leaf Greenness (SPAD) Using Fixed-Point Continuous Observations of Visible Red and Near Infrared Narrow-Band Digital Images

(2012) Michio Shibayama et al.   PLANT PRODUCTION SCIENCE

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Mind the gap: how do climate and agricultural management explain the ‘yield gap’ of croplands around the world?

(2010) Rachel Licker et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Wavelet SVM in Reproducing Kernel Hilbert Space for hyperspectral remote sensing image classification

(2010) Peijun Du et al.   OPTICS COMMUNICATIONS

A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data

(2010) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Verification of color vegetation indices for automated crop imaging applications

(2008) George E. Meyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM

(2008) Sheng Zheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING