Publication

Peer-Reviewed Journals

  1.  Virnodkar, S.S., Pachghare, V.K., Patil, V.C., Jha, S.K. Remote sensing and machine learning for crop water stress determination in various crops: a critical review. Precision Agric 21, 1121–1155 (2020). https://doi.org/10.1007/s11119-020-09711-9
  2.  Elkina, E., Egorov, V., Plotnikov, D., Samofal, E., Bartalev, S.A., Patil, V.C., Jha S.K., Chavan, V. Development of satellite monitoring methods for sugarcane crop condition assessment in Peninsular India. Sovremennye Problemy Distantsionnogo Zondirovaniya ZemliIz Kosmosa, 16(5), 159–173 (2019). doi: 10.21046/2070-7401-2019-165-159-173. 4.
  3.  Tolpin.V. A., Bartalev, S. A., Elkina E. S., Kashnitsky A. V., Konstantinova A. M., Loupian E. A., Marchenkov V.V., Plotnikov D. E., Patil V.C., Jha, S. K. The VEGA- GEOGLAM information system. The tool for development of methods and approaches to the use of satellite remote sensing data to meet the challenges of global agricultural monitoring. (2019)
  4.  Seemantini Nadiger, C.S. Hunshal and B. Sundara. Optimizing inter row spacing in sugarcane based intercropping systems in semi-arid regions of Karnataka. International Journal of Agricultural Science and Research (IJASR) Vol. 9, Issue 2, 15-26 (2019).
  5.  Kongawad. B.Y, Patil, V.C and Jambagi, A.M, Intercropping studies in pre seasonal and seasonal sugarcane. Journal of Sugarcane Research. 9(1): 64-70 (2019).
  6.  Jha S.K., V.C. Patil., Rekha, P.U., M. G Rajkamal., Kopp, M.S., Bartalev, S.A, Plotnikov, D and Elkina E. S., Virnodkar S.S., Patel N.. Sugarcane yield prediction model using vegetation indices and Random Forest algorithm. Under submission to Precision Agriculture. June (2020)


Conference Papers

  1.  Virnodkar, S.S, Pachgare, V. K., Patil V. C, Jha S.K., 2019. Application of Machine Learning on Remote Sensing Data for Sugarcane Crop Classification: A Review International Conference on ICT for Sustainable Development Vol. 2 pp. 539-555.
  2.  Virnodkar, S.S, Pachgare, V. K., Patil V. C, Jha S.K. , Performance Evaluation of RF and SVM for Sugarcane Classification using Sentinel 2 Time Series NDVI. (2019) accepted at ‘ICACIE’ conference at Bhuvneshwar.
  3.  Rekha, B., Desai, V. V., Ajawan, P. S., & Jha, S. K. (2018). Remote Sensing Technology and Applications in Agriculture. 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS). doi:10.1109/ctems.2018.8769124
  4. Jambagi A.M, Jha S.K., Patil V.C., Goundi R 2019. Assessment of Spatial Variability in Soil Properties and Soil Fertility Mapping using Geospatial Techniques. Sugar Journal, 49th Annual Convention of SISSTA, pp 62 – 67.
  5. Kopp M.S, Kongawad B.Y, Jambagi A.M and Patil V.C. Micro-propagation of Mid-late Varieties of Sugarcane. Sugar Journal, 49th Annual Convention of SISSTA, pp 29– 32(2019).
  6. Kongawad B.Y, A.M Jambagi, M.S. Kopp and V.C. Patil (2019). Intercropping Studies in Pre Seasonal and Seasonal Sugarcane. 77th Annual Convention of STAI, pp 128 – 135.