相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Mapping smallholder and large-scale cropland dynamics with a flexible classification system and pixel-based composites in an emerging frontier of Mozambique
Adia Bey et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level
Muhammad Moshiur Rahman et al.
REMOTE SENSING (2020)
Crop yield prediction using machine learning: A systematic literature review
Thomas van Klompenburg et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging
Yuri Shendryk et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)
A SATELLITE-BASED METHODOLOGY FOR HARVEST DATE DETECTION AND YIELD PREDICTION IN SUGARCANE
Yuri Shendryk et al.
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (2020)
Leveraging High-Resolution Satellite Imagery and Gradient Boosting for Invasive Weed Mapping
Yuri Shendryk et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)
From local explanations to global understanding with explainable AI for trees
Scott M. Lundberg et al.
NATURE MACHINE INTELLIGENCE (2020)
Regional scale application of the precision agriculture thought process to promote improved fertilizer management in the Australian sugar industry
R. G. V. Bramley et al.
PRECISION AGRICULTURE (2019)
Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery
Ramses A. Molijn et al.
REMOTE SENSING (2019)
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Anna Chlingaryan et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation
Jaturong Som-ard et al.
SUGAR TECH (2018)
Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble
Jeferson Lobato Fernandes et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2017)
Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications
Amanda Veloso et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Accurate prediction of sugarcane yield using a random forest algorithm
Yvette Everingham et al.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT (2016)
When do I want to know and why? Different demands on sugarcane yield predictions
Felipe Ferreira Bocca et al.
AGRICULTURAL SYSTEMS (2015)
L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark
Neha P. Joshi et al.
REMOTE SENSING (2015)
Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island
Julien Morel et al.
REMOTE SENSING (2014)
Enhanced Processing of 1-km Spatial Resolution fAPAR Time Series for Sugarcane Yield Forecasting and Monitoring
Gregory Duveiller et al.
REMOTE SENSING (2013)
Forecasting Regional Sugarcane Yield Based on Time Integral and Spatial Aggregation of MODIS NDVI
Betty Mulianga et al.
REMOTE SENSING (2013)
Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas
Matheus Alves Vieira et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Estimating Sugarcane Yield Potential Using an In-Season Determination of Normalized Difference Vegetative Index
Josh Lofton et al.
SENSORS (2012)
Spatio-temporal variability of sugarcane fields and recommendations for yield forecast using NDVI
A. Begue et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2010)
Object- and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery
Isabel Luisa Castillejo-Gonzalez et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2009)
Input data for decision trees
Selwyn Piramuthu
EXPERT SYSTEMS WITH APPLICATIONS (2008)
Multi-time scale analysis of sugarcane within-field variability:: improved crop diagnosis using satellite time series?
Agnes Begue et al.
PRECISION AGRICULTURE (2008)
A Bayesian modelling approach for long lead sugarcane yield forecasts for the Australian sugar industry
Y. L. Everingham et al.
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH (2007)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts
YL Everinghama et al.
AGRICULTURAL SYSTEMS (2002)
Multiple classifiers applied to multisource remote sensing data
GJ Briem et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2002)
Factors affecting cane yield and commercial cane sugar in the Tully district
RA Lawes et al.
AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE (2002)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)