Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data

Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

(2020) Puyu Feng et al.   AGRICULTURAL AND FOREST METEOROLOGY

Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California

(2020) Laura Duncanson et al.   REMOTE SENSING OF ENVIRONMENT

Crop yield prediction using machine learning: A systematic literature review

(2020) Thomas van Klompenburg et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Variability of Aboveground Litter Inputs Alters Soil Carbon and Nitrogen in a Coniferous–Broadleaf Mixed Forest of Central China

(2019) Renhui Miao et al.   Forests

Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

(2019) Dameng Yin et al.   REMOTE SENSING OF ENVIRONMENT

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

(2019) Liang Han et al.   Plant Methods

Estimation methods developing with remote sensing information for energy crop biomass: A comparative review

(2019) Zhenhua Chao et al.   BIOMASS & BIOENERGY

Monitoring the structure of forest restoration plantations with a drone-lidar system

(2019) D.R.A. Almeida et al.   International Journal of Applied Earth Observation and Geoinformation

Unmanned Aerial Vehicle for Remote Sensing Applications—A Review

(2019) Huang Yao et al.   Remote Sensing

Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices

(2019) Louise Leroux et al.   EUROPEAN JOURNAL OF AGRONOMY

On promoting the use of lidar systems in forest ecosystem research

(2019) Martin Beland et al.   FOREST ECOLOGY AND MANAGEMENT

Probabilistic forecasting of crop yields via quantile random forest and Epanechnikov Kernel function

(2019) Samuel Asante Gyamerah et al.   AGRICULTURAL AND FOREST METEOROLOGY

Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm

(2019) Toshihiro Sakamoto   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

(2018) Anna Chlingaryan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Retrieval of narrow-range LAI of at multiple lidar point densities: Application on Eucalyptus grandis plantation

(2018) Solomon G. Tesfamichael et al.   International Journal of Applied Earth Observation and Geoinformation

Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states

(2018) Nikolai Knapp et al.   REMOTE SENSING OF ENVIRONMENT

Planting density and sowing date strongly influence growth and lint yield of cotton crops

(2017) Aziz Khan et al.   FIELD CROPS RESEARCH

Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms

(2017) Lien T.H. Pham et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Agricultural sustainable intensification improved nitrogen use efficiency and maintained high crop yield during 1980–2014 in Northern China

(2017) Xin Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Accurate prediction of sugarcane yield using a random forest algorithm

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

Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance

(2016) Elizabeth A. Freeman et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests

(2016) Gaia Vaglio Laurin et al.   International Journal of Applied Earth Observation and Geoinformation

Estimating Forest and Woodland Aboveground Biomass Using Active and Passive Remote Sensing

(2016) Zhuoting Wu et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Physical–chemical–morphological characterization of the whole sugarcane lignocellulosic biomass used for 2G ethanol production by spectroscopy and microscopy techniques

(2016) Sandra C. Pereira et al.   RENEWABLE ENERGY

Random Forests for Global and Regional Crop Yield Predictions

(2016) Jig Han Jeong et al.   PLoS One

Consistency of random forests

(2015) Erwan Scornet et al.   ANNALS OF STATISTICS

Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China

(2015) Wang Li et al.   ECOLOGICAL INDICATORS

Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data

(2015) Abel Ramoelo et al.   International Journal of Applied Earth Observation and Geoinformation

Crop height variability detection in a single field by multi-temporal terrestrial laser scanning

(2015) Dirk Hoffmeister et al.   PRECISION AGRICULTURE

Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data

(2015) Marc Bouvier et al.   REMOTE SENSING OF ENVIRONMENT

Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects

(2015) Sanna Kaasalainen et al.   Forests

Energy efficiency of rice production in farmers’ fields and intensively cropped research fields in the Philippines

(2014) James R. Quilty et al.   FIELD CROPS RESEARCH

Predictive ability of machine learning methods for massive crop yield prediction

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

Sugarcane Agriculture and Sugar Industry in China

(2014) Yang-Rui Li et al.   Sugar Tech

Optimizing triticale sowing densities across the Mediterranean Basin

(2013) Simona Bassu et al.   FIELD CROPS RESEARCH

Predictive soil parent material mapping at a regional-scale: A Random Forest approach

(2013) Brandon Heung et al.   GEODERMA

Single tree biomass modelling using airborne laser scanning

(2013) Ville Kankare et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs

(2013) Clement Atzberger   Remote Sensing

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

(2013) Felix Rembold et al.   Remote Sensing

Functional characterization and synergic action of fungal xylanase and arabinofuranosidase for production of xylooligosaccharides

(2012) T.A. Gonçalves et al.   BIORESOURCE TECHNOLOGY

Understanding production potentials and yield gaps in intensive maize production in China

(2012) Qingfeng Meng et al.   FIELD CROPS RESEARCH

Value addition to sugarcane bagasse: Xylan extraction and its process optimization for xylooligosaccharides production

(2012) Natasha Jayapal et al.   INDUSTRIAL CROPS AND PRODUCTS

Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest

(2012) Olivier W. Tsui et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Lidar sampling for large-area forest characterization: A review

(2012) Michael A. Wulder et al.   REMOTE SENSING OF ENVIRONMENT

Development of a UAV-LiDAR System with Application to Forest Inventory

(2012) Luke Wallace et al.   Remote Sensing

Global food demand and the sustainable intensification of agriculture

(2011) D. Tilman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Biotechnological Developments in Sugarcane Improvement: An Overview

(2011) P. Suprasanna et al.   Sugar Tech

A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements

(2010) Anttoni Jaakkola et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment

(2010) Barbara Koch   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Greenhouse gas mitigation by agricultural intensification

(2010) J. A. Burney et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Beneficial Biofuels--The Food, Energy, and Environment Trilemma

(2009) D. Tilman et al.   SCIENCE

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY