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Academic Journal

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring.

Authors : Virlet, Nicolas¹; Sabermanesh, Kasra¹; Sadeghi-Tehran, Pouria¹

Source: Functional Plant Biology. Jan2017, Vol. 44 Issue 1, p143-153. 11p.

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Academic Journal

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery.

Authors : Tamouridou, Afroditi A.^1,2 ; Alexandridis, Thomas K.² ; Pantazi, Xanthoula E.¹

Source: Sensors (14248220). Oct2017, Vol. 17 Issue 10, p2307. 9p.

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Academic Journal

Regression Kriging for Improving Crop Height Models Fusing Ultra-Sonic Sensing with UAV Imagery.

Authors : Schirrmann, Michael¹ ; Hamdorf, André¹ ; Giebel, Antje¹

Source: Remote Sensing. Jul2017, Vol. 9 Issue 7, p665. 18p.

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A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions.

Authors : Nutini, Francesco¹ ; Stroppiana, Daniela¹ ; Busetto, Lorenzo¹

Source: Sensors (14248220). Jun2017, Vol. 17 Issue 6, p1338. 24p.

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Parallel architecture for cotton crop classification using WLI-Fuzzy clustering algorithm and Bs-Lion neural network model.

Authors : Ramesh, P. S.¹ (AUTHOR) ; Letitia, S.² (AUTHOR)

Source: Imaging Science Journal. Dec2017, Vol. 65 Issue 8, p439-456. 19p.

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Designing and Testing a UAV Mapping System for Agricultural Field Surveying.

Authors : Christiansen, Martin Peter¹ ; Laursen, Morten Stigaard¹ ; Jørgensen, Rasmus Nyholm¹

Source: Sensors (14248220). Dec2017, Vol. 17 Issue 12, p2703. 19p.

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Academic Journal

Comparison of Global Land Cover Datasets for Cropland Monitoring.

Authors : Pérez-Hoyos, Ana¹ ; Rembold, Felix¹ ; Kerdiles, Hervé¹

Source: Remote Sensing. Nov2017, Vol. 9 Issue 11, p1118. 24p.

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Academic Journal

基于时间序列叶面积指数傅里叶变换的作物种植区域提取.

Authors : 王鹏新^1,2 ; 荀兰^1,2; 李俐^1,2

Source: Transactions of the Chinese Society of Agricultural Engineering. Nov2017, Vol. 33 Issue 21, p207-215. 9p.

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Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress.

Authors : Lowe, Amy^1,2,3 ; Harrison, Nicola^3,4; French, Andrew P.^1,2

Source: Plant Methods. 10/10/2017, Vol. 13, p1-12. 12p.

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National-scale cropland mapping based on spectral-temporal features and outdated land cover information.

Authors : Waldner, François¹ (AUTHOR) ; Hansen, Matthew C.² (AUTHOR); Potapov, Peter V.² (AUTHOR)

Source: PLoS ONE. 8/17/2017, Vol. 12 Issue 8, p1-24. 24p. 2 Diagrams, 3 Charts, 5 Maps.

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فلترة النتائج

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring.

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery.

Regression Kriging for Improving Crop Height Models Fusing Ultra-Sonic Sensing with UAV Imagery.

A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions.

Parallel architecture for cotton crop classification using WLI-Fuzzy clustering algorithm and Bs-Lion neural network model.

Designing and Testing a UAV Mapping System for Agricultural Field Surveying.

Comparison of Global Land Cover Datasets for Cropland Monitoring.

基于时间序列叶面积指数傅里叶变换的作物种植区域提取.

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress.

National-scale cropland mapping based on spectral-temporal features and outdated land cover information.

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