Crop Discrimination Using Field Hyper Spectral Remotely Sensed Data

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
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"Crop Discrimination Using Field Hyper Spectral Remotely Sensed Data"
written by Sayed M. Arafat, Mohamed A. Aboelghar, Eslam F. Ahmed,
published by Advances in Remote Sensing, Vol.2 No.2, 2013

has been cited by the following article(s):

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[12]	Intra-Annual Variabilities of Rubus caesius L. Discrimination on Hyperspectral and LiDAR Data Remote Sensing, 2020 DOI:10.3390/rs13010107

[13]	Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat The Plant Phenome Journal, 2020 DOI:10.1002/ppj2.20007

[14]	Intra-Annual Variabilities of Rubus caesius L. Discrimination on Hyperspectral and LiDAR Data Remote Sensing, 2020 DOI:10.3390/rs13010107

[15]	Real-Time Agriculture Yield Monitor System (AYMS) Using Deep Feedforward (DFF) Neural Network SSRN Electronic Journal , 2020 DOI:10.2139/ssrn.3734201

[16]	Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat The Plant Phenome Journal, 2020 DOI:10.1002/ppj2.20007

[17]	Environmental Remote Sensing in Egypt Springer Geophysics, 2020 DOI:10.1007/978-3-030-39593-3_4

[18]	Discrimination Analysis of Corn Species Using Field Hyperspectral Data 2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), 2019 DOI:10.1109/AGERS48446.2019.9034340

[19]	Proceedings of 2nd International Conference on Communication, Computing and Networking Lecture Notes in Networks and Systems, 2019 DOI:10.1007/978-981-13-1217-5_72

[20]	Development of an Apparatus for Crop-Growth Monitoring and Diagnosis Sensors, 2018 DOI:10.3390/s18093129

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[26]	Evolution of regional to global paddy rice mapping methods: A review ISPRS Journal of Photogrammetry and Remote Sensing, 2016 DOI:10.1016/j.isprsjprs.2016.05.010

[27]	Crop Selection Method to maximize crop yield rate using machine learning technique 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 DOI:10.1109/ICSTM.2015.7225403

[28]	Regional scale soil salinity evaluation using Landsat 7, western San Joaquin Valley, California, USA Geoderma Regional, 2014 DOI:10.1016/j.geodrs.2014.10.004

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