Dr. Bappa Das  Scientist (Agricultural Meteorology)


                                                                                   Address: S-13, Natural Resource Management,

                                                                                ICAR - CCARI,               

                                                                                Old Goa 403 402

                                                                Email: bappa.das@icar.gov.in, bappa.iari.1989@gmail.com




Academic background:

Ph. D. (Agricultural Physics) from Indian Agricultural Research Institute, New Delhi, 2016

M.Sc. (Agricultural Physics) from Indian Agricultural Research Institute, 2012
B.Sc. (Agri.) from Bidhan Chandra Krishi Viswavidyalaya, 2010


Research interests

  1. Effect of climate change on crop yield through use of Crop Growth Simulation Models

  2. Statistical Crop Weather Model development for the major crops grown in West Coast Plains and Ghats

  3. Modeling of Reference Evapotranspiration with limited data availability

  4. Applications of Remote Sensing and GIS in agriculture.

Membership in professional societies     

  1. Indian Society of Agrophysics

  2. Indian Society of Remote Sensing

  3. Agricultural Research Service Scientists Forum

  4. Indian Science Congress Association

  5. Indian Society of Coastal Agricultural Research

  6. Association of Agrometeorologists


Awards and honours

  1. Agriculture Research Organization – Israel Postdoctoral Fellowships 2020-21

  2. ICAR-Postdoctoral Fellowship (PDF) at IARI, New Delhi for 2020-21

  3. Young Scientist Award, 2020, Indian Society for Plant Physiology, New Delhi

  4. ICAR Jawaharlal Nehru Award for P.G. Outstanding Doctoral Thesis Research in Agricultural and Allied Sciences 2017 by Indian Council of Agricultural Research, New Delhi

  5. Early Career Research Award 2017-18, Science and Engineering Research Board, Department of Science and Technology, Ministry of Science and Technology, Government of India, India

  6. Institute Merit Medal for outstanding academic performance in Doctor of Philosophy, 55th Convocation, ICAR-Indian Agricultural Research Institute, New Delhi

  7. Young Scientist Award in the section of "Agriculture and forestry science" during the 104th Indian Science Congress at Sri Venkateswara University, Tirupathi, Andhra Pradesh

  8. 2nd Best Oral presentation award 2014, International Society of Photogrammetry and Remote Sensing (ISPRS) Technical commission-8, Hyderabad, India.

  9. Best student of the year 2012 for outstanding academic performance during M.Sc. degree programme, ICAR-Indian Agricultural Research Institute, New Delhi

  10. IARI Merit Scholarship for pursuing Ph. D. in Agricultural Physics at IARI for the Academic Session 2012-2013.

  11. INSPIRE Fellowship for pursuing Ph. D. in Agricultural Physics after securing 1st rank in M.Sc. in Division of Agricultural Physics.

  12. Junior Research Fellowship 2011, Council of Scientific & Industrial Research, New Delhi, India. (Earth Sciences)

  13. Junior Research Fellowship 2010, Indian Council of Agricultural Research, New Delhi, India. (Physical Sciences)

Research Publications


  • Ansari, M.A., Saha, S., Das, A., Lal, R., Das, Bappa, Choudhury, B.U., Roy, S.S., Sharma, S.K., Singh, I.M., Meitei, C.B., Changloi, K.L., Singh, L.S., Singh, N.A., Saraswat, P.K., Ramakrishna, Y., Singh, D., Hazarika, S., Punitha, P., Sandhu, S.K., Prakash, N., 2021. Energy and carbon budgeting of traditional land use change with groundnut based cropping system for environmental quality, resilient soil health and farmers income in eastern Indian Himalayas. Journal of Environmental Management 293, 112892. https://doi.org/10.1016/j.jenvman.2021.112892

  • Banerjee, K., Krishnan, P., Das, Bappa, 2020. Thermal imaging and multivariate techniques for characterizing and screening wheat genotypes under water stress condition. Ecological Indicators 119, 106829. https://doi.org/10.1016/j.ecolind.2020.106829

  • Das, Bappa, Manohara, K.K., Mahajan, G.R., Sahoo, R.N., 2020. Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 229, 117983. https://doi.org/10.1016/j.saa.2019.117983

  • Das, Bappa, Nair, B., Arunachalam, V., Reddy, K.V., Venkatesh, P., Chakraborty, D., Desai, S., 2020. Comparative evaluation of linear and nonlinear weather-based models for coconut yield prediction in the west coast of India. International Journal of Biometeorology 64, 1111–1123. https://doi.org/10.1007/s00484-020-01884-2

  • Das, Bappa, Sahoo, R.N., Pargal, S., Krishna, G., Verma, R., Viswanathan, C., Sehgal, V.K., Gupta, V.K., 2021. Evaluation of different water absorption bands, indices and multivariate models for water-deficit stress monitoring in rice using visible-near infrared spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 247, 119104. https://doi.org/10.1016/j.saa.2020.119104

  • Krishna, V.R., Paramesh, V., Arunachalam, V., Das, Bappa, Elansary, H.O., Parab, A., Reddy, D.D., Shashidhar, K.S., El-Ansary, D.O., Mahmoud, E.A., El-Sheikh, M.A., 2020. Assessment of sustainability and priorities for development of Indian west coast region: an application of sustainable livelihood security indicators. Sustainability 12, 8716. https://doi.org/10.3390/su12208716

  • Kumari, S., Krishnan, N., Dubey, V., Das, Bappa, Pandey, K.K., Singh, J., 2021. Investigations on annual spreading of viruses infecting cucurbit crops in Uttar Pradesh State, India. Scientific Reports 11, 17883. https://doi.org/10.1038/s41598-021-97232-4

  • Mahajan, G., Das, Bappa, Morajkar, S., Desai, A., Murgaokar, D., Kulkarni, R., Sale, R., Patel, K., 2020. Soil quality assessment of coastal salt-affected acid soils of India. Environmental Science and Pollution Research 27, 26221–26238. https://doi.org/10.1007/s11356-020-09010-w

  • Mahajan, G.R., Das, Bappa, Gaikwad, B., Murgaonkar, D., Desai, A., Morajkar, S., Patel, K.P., Kulkarni, R.M., 2020. Monitoring properties of the salt-affected soils by multivariate analysis of the visible and near-infrared hyperspectral data. Catena 105041. https://doi.org/10.1016/j.catena.2020.105041

  • Mahajan, G.R., Das, Bappa, Manivannan, S., Manjunath, B.L., Verma, R.R., Desai, S., Kulkarni, R.M., Latare, A.M., Sale, R., Murgaonkar, D., Patel, K.P., Morajkar, S., Desai, A., Barnes, N., Mulla, H., 2021. Soil and water conservation measures improve soil carbon sequestration and soil quality under cashews. International Journal of Sediment Research 36, 190–206. https://doi.org/10.1016/j.ijsrc.2020.07.009

  • Mahajan, G.R., Das, Bappa, Morajkar, S., Desai, A., Murgaokar, D., Patel, K.P., Kulkarni, R.M., 2021. Comparison of soil quality indexing methods for salt-affected soils of Indian coastal region. Environmental Earth Sciences 80, 725. https://doi.org/10.1007/s12665-021-09922-x

  • Mahajan, G.R., Das, Bappa, Murgaokar, D., Herrmann, I., Berger, K., Sahoo, R.N., Patel, K., Desai, A., Morajkar, S., Kulkarni, R.M., 2021. Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models. Remote Sensing 13, 641. https://doi.org/10.3390/rs13040641

  • Mondal, B.P., Sahoo, R.N., Ahmed, N., Singh, R.K., Das, Bappa, Mridha, N., Gakhar, S., 2021. Rapid prediction of soil available sulphur using visible near-infrared reflectance spectroscopy. Indian Journal of Agricultural Sciences 91, 1328–1332.

  • Mondal, B.P., Sekhon, B.S., Sudhukhan, R., Singh, R.K., Hasanain, M., Mridha, N., Das, Bappa, Chattopadhyay, A., Banerjee, K., 2020. Spatial variability assessment of soil available phosphorus using geostatistical approach. Indian Journal of Agricultural Sciences 90, 1170–1175. https://doi.org/10.1007/978-3-642-23722-5_3

  • Prasad, P., Loveson, V.J., Das, Bappa, Kotha, M., 2021. Novel ensemble machine learning models in flood susceptibility mapping. Geocarto International 1–23. https://doi.org/10.1080/10106049.2021.1892209

  • Ramasamy, M., Das, Bappa, Ramesh, R., 2021. Predicting climate change impacts on potential worldwide distribution of fall armyworm based on CMIP6 projections. Journal of Pest Science https://doi.org/10.1007/s10340-021-01411-1

  • Sah, S., Singh, R., Chaturvedi, G., Das, Bappa, 2021. Trends, variability, and teleconnections of long-term rainfall in the Terai region of India. Theoretical and Applied Climatology 143, 291–307. https://doi.org/10.1007/s00704-020-03421-y

  • Singh, R., Sah, S., Das, Bappa, Chaturvedi, G., Kumar, M., Rane, J., Pathak, H., 2021. Long-term spatiotemporal trends of temperature associated with sugarcane in west India. Arabian Journal of Geosciences 14, 1955. https://doi.org/10.1007/s12517-021-08315-5

  • Singh, R., Sah, S., Das, Bappa, Potekar, S., Chaudhary, A., Pathak, H., 2021. Innovative trend analysis of spatio-temporal variations of rainfall in India during 1901–2019. Theoretical and Applied Climatology 145, 821–838. https://doi.org/10.1007/s00704-021-03657-2

  • Singh, R., Sah, S., Das, Bappa, Vishnoi, L., Pathak, H., 2021. Spatio-temporal trends and variability of rainfall in Maharashtra, India: Analysis of 118 years. Theoretical and Applied Climatology 143, 883–900. https://doi.org/10.1007/s00704-020-03452-5

  • Singh, R.N., Sah, S., Chaturvedi, G., Das, Bappa, Pathak, H., 2021. Innovative trend analysis of rainfall in relation to soybean productivity over western Maharashtra. Journal of  Agrometeorology 23, 228–235.

  • Sridhara, S., Ramesh, N., Gopakkali, P., Das, Bappa, Venkatappa, S.D., Sanjivaiah, S.H., Singh, K.K., Singh, P., Al‐Ansary, D.O., Mahmoud, E.A., Elansary, H.O., 2020. Weather‐based neural network, stepwise linear and sparse regression approach for rabi sorghum yield forecasting of Karnataka, India. Agronomy 10. https://doi.org/10.3390/agronomy10111645

Books, book chapters

  • Chakurkar, E.B., Desai, A.R., Thangam, M., Manohara, K.K., Shivasharanappa, N., Gokuldas, P.P., Rajkumar, R.S., Mahajan, G.R., Susitha, R., Reddy, K.V., Sreekanth, G.B., Das, Bappa, Paramesh, V., Desai, S., Chethan Kumar, H.B., Mayekar, T., Nayak, N., 2020. Coastal Agricultural Resource Inventory: An Overview and Way Forward. ICAR – Central Coastal Agricultural Research Institute, Old Goa, Goa, India. ISBN-978-93-5406-829-4.

  • Banerjee, K., Das, Bappa, 2020. Application of Remote Sensing Technology for Estimation of Soil Moisture. Mandal N, Dey A, Rakshit (eds.) R: Soil Management for Sustainable Agriculture - New Research and Strategies. CRC Press Taylor and Francis Group. Apple Academic Press.

  • Mahajan, G.R., Das, Bappa, Gaikwad, B., Murgaokar, D., Patel, K., Kulkarni, M., 2020. Spectral and Smartphone-Based Tools to Monitor Plant and Soil Nitrogen Status for Site-Specific N Management in Crop Plants. Mandal N, Dey A, Rakshit (eds.) R: Soil Management for Sustainable Agriculture - New Research and Strategies. CRC Press Taylor and Francis Group. Apple Academic Press.

  • Chakraborty, D., Das, Bappa, 2019. Evaluation of Soil Structure, Aggregation and Consistency, in: Soil Analysis. pp. 321–331.


  • Das, B., Roy, D., Chakraborty, D., Bhattacharya, B., Rathore, P., 2021. LST: Land Surface Temperature Retrieval. https://CRAN.R-project.org/package=LST

  • Das, B., Rathore, P., Roy, D., Sharma, A., Chakraborty, D., 2021. Training manual on geo-informatics in agriculture using open-source data and analysis platforms, pp. 1-147. TB-ICN: 260/2021

  • Das, B., Rathore, P., Roy, D., Sharma, A., Mukherjee, J., and Chakraborty, D., 2021. Developing R package using RStudio (A step-by-step guide)