Publications

Peer-Reviewed Journals

  • Virnodkar, S.S., Pachghare, V.K., Patil, V.C., Jha, S.K. CaneSat dataset to leverage convolutional neural networks for sugarcane classification from Sentinel-2. Journal of King Saud University - Computer and Information Sciences (2020). doi.org/10.1016/j.jksuci.2020.09.005
  • 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). doi.org/10.1007/s11119-020-09711-9
  • 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.
  • 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)
  • 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).
  • 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).
  • 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)
  • Nadiger, S.; Sundara. B; Nadagouda. B. T. Influence of wide row spacings and intercrops on sugarcane growth, yield and juice quality under drip irrigation in north-west Karnataka. International Journal of Agricultural Science and Research 2018, 7 (2) 111-120.

Book Chapter

Virnodkar S.S, Pachghare V.K., Patil V.C., Jha S.K. Performance Evaluation of RF and SVM for Sugarcane Classification Using Sentinel-2 NDVI Time-Series. Advances in Intelligent Systems and Computing Progress in Advanced Computing and Intelligent Engineering (2021), 163-174.
doi.org/10.1007/978-981-15-6353-9_15

Conference Papers

  • 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.
  • 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.
  • Virnodkar, S. S., Pachghare, V. K., Patil, V. C.,Jha, S. K. Application of Machine Learning on Remote Sensing Data for Sugarcane Crop Classification: A Review. ICT Analysis and Applications Lecture Notes in Networks and Systems, 539-555 (2020). doi:10.1007/978-981-15-0630-7_55
  • 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
  • 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.
  • 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).
  • 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.