Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture

When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent resea...

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書目詳細資料
格式:	Online
語言:	英语
出版:	MDPI - Multidisciplinary Digital Publishing Institute 2023
主題:	vineyard pesticide application variable rate application unmanned aerial vehicle satellite nanosatellite monsoon crops leaf area index leaf chlorophyll concentration crop water content multispectral hyperspectral deep learning forage dry matter yield high-throughput phenotyping Brazilian pasture nitrogen indicator nitrogen nutrition diagnosis optical sensor spectral index UAV wheat lodging lightweight digital surface model (DSM) winter wheat fractional order differential continuous wavelet transform optimal subset regression support vector machine wheat powdery mildew machine learning information fusion remote sensing monitoring hyperspectral imaging dimensionality reduction LDA PLS PCA RandomForest ReliefF XGB Meloidogyne Solanum tuberosum soil salinity sensitive parameter random forest optimal retrieval model remote sensing high throughput phenotyping UAV/drone biomass estimation oats wheat yield prediction random forests satellite imagery Normalized Difference Vegetation Index (NDVI) n/a thema EDItEUR::M Medicine and Nursing
在線閱讀:	ONIX_20230307_9783036566146_48
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Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture

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