Crop_yield_cartoon

Research


"....And If it gets enough rain and sun, and if it isn't killed by hail, and if it isn't damaged by frost and if we can get it off before it's covered by snow, and if we get it to the elevators, and if the rains are running, and if the grain handlers aren't on strike And If...."

Research Interests:

  • Crop Monitoring, Model Inversion, Biophysical parameter estimation, Crop classification
  • SAR Polarimetry, Scattering models, Quad and Compact polarimetry.
  • Agricultural Engineering, Crop phenology, Water stress, Farm machinery.

Research Network:

Research Statement:

Previous and on-going research:

  • Crop biophysical parameter estimation using SAR data
  • Improved Radar Vegetation Indices for quad, compact, and dual-pol SAR data
  • Multi-temporal Crop Classification using Polarimetric SAR data
  • Comparative Analysis of Compact-pol and Linear-pol SAR data for agricultural application
  • Crop monitoring using Time Series SAR data in Google Earth Engine Cloud Computing platform
  • Retrieval of Canopy Biophysical Parameters using PROSAIL Model from MERIS Sensor Product
  • Leaf Phenological Analysis and Retrieval of Leaf Biophysical Parameters Using PROSPECT-5 Model.
  • Fluorescence, PRI and Canopy Temperature for Water Stress Detection in Cereal Crops

Research Projects:

ResearchProjects:Google sites**

Field Campaign Activity


  • 2018
    • SASYA-VIJ & JECAM field campaign with joint collaboration by MRSLab – IIT Bombay, and APSAC, at JECAM Test site in Andhra Pradesh, India: June 2018–December 2018. # Aimed for Crop and Soil parameter collection in synchronous with Satellite (Radarsat-2, Sentinel-1A, LANDSAT-8, Sentinel-2) overpasses.
    • SASYA-BWN field campaign with joint collaboration by MRSLab – IIT Bombay, and BCKV at Bardhaman, WB, India: December 2017–April 2018. # Aimed for Crop and Soil parameter collection in synchronous with Satellite (Radarsat-2, Sentinel-1A, LANDSAT-8, Sentinel-2) overpasses.
  • 2017
    • Field and Satellite data collection planning for Crop Biophysical Parameter retrieval at Bardhaman, WB, India. #Satellite Data: RADARSAT-2 Science and Operational Applications Research – Education International (SOAR-EI)
  • 2016
    • Field Campaign at Chakdaha, Indo-Gangetic plains, West Bengal, India with ESA- Sentinel-1 & 2 Satellite Pass.
    • Surendranagar, Gujarat, India: Collected agricultural crop, irrigation practice information and soil moisture parameters with parallel to SMAP satellite pass.
    • Vijayawada, Andhra Pradesh, Collected agricultural crop parameters and soil parameter with parallel to RISAT-1 satellite pass.

Research/Product Development:

  • Web-application for collecting in-situ measurement during the field campaign--Field Data Collection App: SANGRAHAN
http://home.iitb.ac.in/~dipankar_mandal/Sangrahan/

Platform

HTML/PHP

Clone <>Code

Related Publications/Resources

My Home Page

https://github.com/dipankar05/Sangrahan

  • Adaptive Neuro-Fuzzy Inference System Based Grading of Basmati Rice Grains Using Image Processing Technique
http://www.mdpi.com/2571-5577/1/2/19
  • Computer-aided engineering approach for small farm machinery design
http://www.cigrjournal.org/index.php/Ejounral/article/view/4162
  • Development of a Multi-purpose cold storage design software for heat-load calculation
http://ijesat.org/Volumes/2014_Vol_04_Iss_06/IJESAT_2014_04_06_08.pdf

Platform

Visual Basic/.Net

Clone <>Code

Related Publications/Resources

https://github.com/dipankar05/MCSBCKV

Article: Mandal, Dipankar. (2014). Development of a Multipurpose Cold Storage Design Software MCS BCKV. International Journal of Engineering Science & Advanced Technology ISSN: 2250-3676, 4(6), 519–535. DOI: 10.5281/zenodo.215212

  • Development of User-Friendly Software to Design Dairy Heat Exchanger and Performance Evaluation
https://ijera.com/papers/Vol5_issue2/Part%20-%202/R50202111117.pdf