Estimation of Maize LAI Using Ensemble Learning and UAV Multispectral Imagery under Different Water and Fertilizer Treatments
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimation of Maize LAI Using Ensemble Learning and UAV Multispectral Imagery under Different Water and Fertilizer Treatments
Authors
Keywords
-
Journal
Agriculture-Basel
Volume 12, Issue 8, Pages 1267
Publisher
MDPI AG
Online
2022-08-22
DOI
10.3390/agriculture12081267
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach
- (2022) Jiale Jiang et al. PRECISION AGRICULTURE
- Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods
- (2022) Osman Ilniyaz et al. Remote Sensing
- Maize Characteristics Estimation and Classification by Spectral Data under Two Soil Phosphorus Levels
- (2022) Baiyu Qiao et al. Remote Sensing
- UAV-Based Hyperspectral and Ensemble Machine Learning for Predicting Yield in Winter Wheat
- (2022) Zongpeng Li et al. Agronomy-Basel
- Maize response to coupled irrigation and nitrogen fertilization under center pivot, subsurface drip and surface (furrow) irrigation: Growth, development and productivity
- (2022) Suat Irmak et al. AGRICULTURAL WATER MANAGEMENT
- Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression
- (2021) Semih Kuter REMOTE SENSING OF ENVIRONMENT
- Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods
- (2021) Juanjuan Zhang et al. Plant Methods
- Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping
- (2021) Wanxue Zhu et al. PRECISION AGRICULTURE
- Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices
- (2021) Guomin Shao et al. AGRICULTURAL WATER MANAGEMENT
- Linear support vector regression with linear constraints
- (2021) Quentin Klopfenstein et al. MACHINE LEARNING
- Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season
- (2021) Yan Gong et al. Plant Methods
- Aboveground mangrove biomass estimation in Beibu Gulf using machine learning and UAV remote sensing
- (2021) Yichao Tian et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Increasing impact of warm droughts on northern ecosystem productivity over recent decades
- (2021) David Gampe et al. Nature Climate Change
- Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms
- (2021) Seyed Vahid Razavi-Termeh et al. Remote Sensing
- Improved Accuracy of Phenological Detection in Rice Breeding by Using Ensemble Models of Machine Learning Based on UAV-RGB Imagery
- (2021) Haixiao Ge et al. Remote Sensing
- UAV- and Machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening
- (2021) Jianjun Wang et al. Remote Sensing
- Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data
- (2021) Shuaipeng Fei et al. Frontiers in Plant Science
- Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
- (2020) Hainie Zha et al. Remote Sensing
- Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning
- (2020) Maitiniyazi Maimaitijiang et al. Remote Sensing
- Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
- (2020) Luwei Feng et al. Remote Sensing
- Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model
- (2020) Zhiqiang Cheng et al. SENSORS
- Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions
- (2020) Jin Xu et al. Remote Sensing
- StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
- (2020) Angelos Chatzimparmpas et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation
- (2019) Mustafa Ustuner et al. ISPRS International Journal of Geo-Information
- Estimation of Forest Leaf Area Index Using Height and Canopy Cover Information Extracted From Unmanned Aerial Vehicle Stereo Imagery
- (2019) Dafeng Zhang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
- (2019) Yaping Cai et al. AGRICULTURAL AND FOREST METEOROLOGY
- A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning
- (2018) Rasmus Houborg et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A stacking ensemble learning framework for annual river ice breakup dates
- (2018) Wei Sun et al. JOURNAL OF HYDROLOGY
- Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images
- (2018) Long Guo et al. GEODERMA
- Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor
- (2017) Junjun Lu et al. Scientific Reports
- Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
- (2017) Huanhuan Yuan et al. Remote Sensing
- Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications
- (2017) Jinru Xue et al. Journal of Sensors
- Estimating winter wheat (Triticum aestivum) LAI and leaf chlorophyll content from canopy reflectance data by integrating agronomic prior knowledge with the PROSAIL model
- (2015) Zhenhai Li et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- Review of optical-based remote sensing for plant trait mapping
- (2013) Lucie Homolová et al. Ecological Complexity
- Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor
- (2013) Qiang Cao et al. FIELD CROPS RESEARCH
- Near Infrared Reflectance-Based Tools for Predicting Soil Chemical Properties of Oklahoma Grazinglands
- (2012) Brian K. Northup et al. AGRONOMY JOURNAL
- LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands
- (2011) I. Herrmann et al. REMOTE SENSING OF ENVIRONMENT
- Water deficit and nitrogen nutrition of crops. A review
- (2010) Victoria Gonzalez-Dugo et al. Agronomy for Sustainable Development
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started