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Ramesh Kestur

Ramesh Kestur has 17 years of experience at Infosys Technologies Ltd, India's premier IT firm. He served as the Group Project Manager at the Product Engineering division of Infosys. He was a certified Project Management Professional (PMP®). In his tenure at Infosys, he led R&D and product development activities for multiple telecom and datacom product development clients of Infosys.

He holds a Master of Engineering (ME) degree in Electronics and Communication from UVCE, Bangalore and Ph.D from Visvesvaraya Technological University, Belagavi. His doctoral research was in the area of drones and deep learning for agriculture. In his doctoral research, he collaborated with the Department of Aerospace engineering at IISc, Bangalore for the drone experiments and flight campaigns. The experiments were carried out in his own farm.

His research interest is in the area of Machine Learning (ML) approach to Computer Vision (CV), primarily in agritech and Healthcare. In agritech, he has applied machine learning in analysis of aerial imagery acquired by remote sensing from Unmanned Aerial Systems (UAS), also known as Low Altitude Remote Sensing (LARS).He has carried out LARS applications for agriculture in areas such as vegetation analysis, yield estimation in open field crops. He is a reviewer of several SCI Scopus indexed journals in the domain of remote sensing and machine learning. In healthcare, his interests are in Computational Neuropathology. His work includes applying AI/ML for detection of malignancy in meningioma, a type of tumour in human brain. Further, he has applied ML to solve real world problems across railways and power sector verticals.

Computer Vision, Digital image processing, deep learning, machine learning, Computational Pathology, Low Altitude Remote Sensing, Exploratory Data Analysis

  1. Kestur Ramesh., Omkar S.N., Subhash S. (2020) Unmanned Aerial System Technologies for Pesticide Spraying. In: Chakravarthy A. (eds) Innovative Pest Management Approaches for the 21st Century. Springer, Singapore. https://doi.org/10.1007/978-981-15-0794-6_3
  2. Kestur, Ramesh, Avadesh Meduri, and Omkar Narasipura. "MangoNet: A deep semantic segmentation architecture for a method to detect and count mangoes in an open orchard." Engineering Applications of Artificial Intelligence 77 (2019): 59-69.
  3. Kestur, Ramesh, Shariq Farooq, Rameen Abdal, Emad Mehraj, Omkar Subbaramajois Narasipura, and Meenavathi Mudigere. "UFCN: A fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle." Journal of Applied Remote Sensing 12, no. 1 (2018): 016020.
  4. Kestur, Ramesh, Akanksha Angural, Bazila Bashir, S. N. Omkar, Gautham Anand, and M. B. Meenavathi. "Tree Crown Detection, Delineation and Counting in UAV Remote Sensed Images: A Neural Network Based Spectral–Spatial Method." Journal of the Indian Society of Remote Sensing 46, no. 6 (2018): 991-1004.
  5. Senthilnath, Jayavelu, Akanksha Dokania, Manasa Kandukuri, Kestur Ramesh, Gautham Anand, and S. N. Omkar. "Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAV." Biosystems engineering 146 (2016): 16-32.

 

His research accomplishments are catalogued at Google Scholar site =>    https://scholar.google.co.in/citations?user=P28Shk8AAAAJ&hl=en

  1. “Bhavan-R an open source development platform for Geospatial data analysis". ISRO - Space Technology Cell
  2. Winner of “Drone for Neo Agriculture",  Startup challenge award grant , Govt of Karnataka, Dept of  IT /BT 
  3. Multispectral and UAV Image fusion by image super resolution using General Adversarial Network (GAN) Deep Learning architecture".  ISRO- Space Technology Cell
  4. “Crop health monitoring using drone based imagery". Kerala state remote sensing and environment centre
  5. "Expression of Interest (EoI) for crop yield estimation using technology” grant at Indian Council of Agricultural Research (ICAR) New Delhi.
  6. ‘A method and system for vision-based air brake inspection system in railway coaches’ for Lab2Market, an IISc incubated startup.