Nupoor Prasad

ORCID: 0000-0001-6621-1749
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Spectroscopy and Chemometric Analyses
  • Leaf Properties and Growth Measurement
  • Hydrology and Watershed Management Studies
  • Groundwater and Isotope Geochemistry
  • Groundwater and Watershed Analysis
  • Groundwater flow and contamination studies
  • Species Distribution and Climate Change
  • Water Quality and Pollution Assessment
  • Rangeland and Wildlife Management
  • Smart Agriculture and AI
  • Ecology and Conservation Studies
  • Mediterranean and Iberian flora and fauna
  • Plant responses to water stress
  • Environmental Changes in China
  • Water Quality Monitoring and Analysis
  • Agricultural and Environmental Management
  • Forest, Soil, and Plant Ecology in China
  • Geophysical and Geoelectrical Methods
  • Marine and environmental studies
  • Non-Destructive Testing Techniques
  • Water Quality and Resources Studies
  • Flood Risk Assessment and Management

Central Institute of Medicinal and Aromatic Plants
2020-2022

Council of Scientific and Industrial Research
2022

Indian Institute of Remote Sensing
2015

Andhra University
1979-2013

P. S. Roy Mukunda Dev Behera M. S. R. Murthy Arijit Roy Sarnam Singh and 94 more S. P. S. Kushwaha C. S. Jha S. Sudhakar P. K. Joshi Ch. Sudhakar Reddy Stutee Gupta G. S. Pujar C. B. S. Dutt Vijay Kumar Srivastava M. C. Porwal Poonam Tripathi J. S. Singh Vishwas Chitale Andrew K. Skidmore G. Rajshekhar Deepak Kushwaha Harish Chandra Karnatak Sameer Saran Giriraj Amarnath Hitendra Padalia Manish Kale Subrato Nandy C. Jeganathan Chandra Prakash Singh Çhandrashekhar Biradar Chiranjibi Pattanaik Dharmendra Kumar Singh Guddappa M. Devagiri Gautam Talukdar Rabindra K. Panigrahy Harnam Singh J. R. Sharma K. Haridasan Shivam Trivedi K. P. Singh L. Kannan M. Daniel Mandvi Misra Madhura Niphadkar Nidhi Nagabhatla Nupoor Prasad Om Prakash Tripathi P. Rama Chandra Prasad Pushpa Dash Qamer Qureshi Shri Kant Tripathi B.R. Ramesh Balakrishnan Gowda Sanjay Tomar Shakil Ahmad Romshoo Shilpa Giriraj Shirish Ravan Soumit K. Behera Subrato Paul Ashesh Kumar Das B.K. Ranganath T. P. Singh T. R. Sahu Uma Shankar A. R. R. Menon Gaurav Srivastava Neeti Neeti Subrat Sharma U. B. Mohapatra Ashok Peddi Irfan Rashid Irfan Salroo P. Hari Krishna P. K. Hajra A.O. Vergheese Shafique Matin Swapnil A. Chaudhary Sonali Ghosh Udaya Lakshmi Deepshikha Rawat Kalpana Ambastha Akhtar H. Malik B. Sarojini Devi Balakrishna Gowda Kiran Sharma Prashant Mukharjee Ajay Sharma Priya Davidar R. Ramesh Raju S. S. Katewa Shashi Kant Vatsavaya S. Raju Bhumika Uniyal Bijan Debnath D. K. Rout Rajesh Bahadur Thapa Shijo Joseph Pradeep Chhetri Reshma M. Ramachandran

10.1016/j.jag.2015.03.003 article EN International Journal of Applied Earth Observation and Geoinformation 2015-03-29

Depleting water resources and increasing human demands on the available fresh suggest need scope for integrated assessment management. Narava basin, a small watershed spread over 105 km2 with khondalitic suite of rocks gneisses Archaean age in north coastal region Andhra Pradesh, India was studied to propose effective management strategies. The watershed, an undulating topography gentle steep slopes, is drained by dendritic sub-dendritic drainage system. receives annual average rainfall 980...

10.2166/nh.2013.105 article EN Hydrology Research 2013-11-01

Chamomile (Chamomila recutita) is a native species of Europe and Asia which globally cultivated with 8000 tons annual production. It has antioxidant, antimicrobial anti-inflammatory properties, huge demand in cosmetic, food, pharmaceutical healthcare industries. Such high can be met through effective nutrient management during crop cultivation monitored for assessment its effect on the health vigor. Traditional methods monitoring growth phase are invasive time consuming, hence use advanced...

10.1109/icsidempc49020.2020.9299599 article EN 2020-10-30

UAV remote sensing using advanced sensors is useful in monitoring the crop's bio-physical and phenotypical variations high-resolution imagery acquired during drone missions. Plant vigor can be monitored temporal data acquisition its correlation with crop canopy chlorophyll concentration growth period. Crop period are generally obtained invasive techniques, which time-consuming. Hence, nowadays, various researchers combining machine learning algorithms non-invasive instruments to estimate...

10.2139/ssrn.4661709 preprint EN 2023-01-01

Image based high throughput plant phenotyping is a powerful tool to capture and quantify diverse traits. The available commercial platforms are often cost-prohibitive. This study describes the development of low cost, automated platform, which can acquire images, transfer data, segment extract traits perform data analysis using low-cost microcomputers, cameras IoT irrigation system. Quantifiable (e.g., shape, area, height, color) were extracted from images an in-house pipeline developed in R...

10.22541/au.166758437.74559609/v1 preprint EN Authorea (Authorea) 2022-11-04
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