Dr. Sandeep V. Gaikwad

Employment

• Symbiosis International (Deemed University) Symbiosis Institute of Computer Studies and Research Assistant Professor
  2023 - Present
• Charotar University of Science and Technology Chandubhai S Patel Institute of Technology Assistant Professor
  2021 - 2023
• Government Institute of Forensic Science Assistant Professor
  2019 - 2020
• Dr. Babasaheb Ambedkar Marathwada University Research Fellow
  2014 - 2019

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• A MODIS-based long-term spatiotemporal assessment of agricultural drought in Haveli Tehsil (2008–2024)
  Ecological Engineering & Environmental Technology 2025 0 citations DOI: 10.12912/27197050/209596
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• Air Quality Monitoring Using Sentinel-5p TROPOMI—A Case Study of Pune City
  SN Computer Science 2024 7 citations DOI: 10.1007/s42979-024-03500-1
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• An innovative IoT based system for precision farming
  Computers and Electronics in Agriculture 2021 101 citations DOI: 10.1016/J.COMPAG.2021.106291
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• Classification of complex environments using pixel level fusion of satellite data
  Multimedia Tools and Applications 2020 16 citations DOI: 10.1007/s11042-020-08978-4
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• Estimation of soil nitrogen in agricultural regions by VNIR reflectance spectroscopy
  SN Applied Sciences 2020 23 citations DOI: 10.1007/s42452-020-03322-9
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• Investigation of Planar and Helical Bend Losses in Single- and Few-Mode Optical Fibers
  Journal of Lightwave Technology 2019 50 citations DOI: 10.1109/JLT.2019.2917710
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• Spectral feature extraction and classification of soil types using EO-1 hyperion and field spectroradiometer data based on PCA and SVM
  Lecture Notes in Electrical Engineering 2019 4 citations DOI: 10.1007/978-981-13-1906-8_54
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• Reckoning of Photosynthetic Pigments Using Remotely Sensed Spectral Responses of Vigna Radiata Crop for Surge Monitoring
  Lecture Notes in Networks and Systems 2019 1 citation DOI: 10.1007/978-981-13-1217-5_72
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• Identification and Classification of Water Stressed Crops Using Hyperspectral Data: A Case Study of Paithan Tehsil
  Lecture Notes in Networks and Systems 2019 1 citation DOI: 10.1007/978-981-13-1217-5_89
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• Hyperspectral and Multispectral Remote Sensing Data Fusion for Classification of Complex-Mixed Land Features Using SVM
  Communications in Computer and Information Science 2019 4 citations DOI: 10.1007/978-981-13-9181-1_31
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