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).
  • 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).
  • 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). 
  • 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.
  • Patil V. C, Preeti Kumari, Jha, S. K, “Precision Agriculture Approach for Understanding Spatial Variability of Sugarcane Productivity: A Case Study from Karnataka,” in Virt. ICPA 2020 Fall Webinar Series Presented on August 27th,2020. View More
  • Patil V. C, Preeti Kumari, “Sugarcane Crop Classification and Varietal Discrimination from Sentinel-2 Using Supervised Classifier,” in Virt. ICPA 2020 Fall Webinar Series Presented on August 27th, 2020. View More
  • Patil V. C., Kongawad B. Y., Baligar V. S., Yadawad, A. “Organic Cultivation of Sugarcane in Pre-Seasonal and Seasonal Planting for improving productivity and sustainability” presented at Cane Con 2021, International Conference on Sugarcane Research to be held from 19-22 June, 2021.
  • Patil V. C., Preeti Kumari., Jha, S. K., Algat Y. S ., Vricha Chavan., Kopp, M.S., Rajkamal Goundi., Sergey Bartalev., Dmitry Plotnikov and Evgenia Elkina “Crop classification and Sugarcane Varietal Discrimination using Sentinel-2 and Support Vector Machine (SVM)” presented at Cane Con 2021, International Conference on Sugarcane Research to be held from 19-22 June, 2021.
  • Arati Yadawad*, Kongawad B. Y., Kadlag, A. D. and Baligar Veena, “Genetic variability and character association studies for cane yield and quality in advanced clones of sugarcane” presented in International Symposium on “Advances in Plant Biotechnology and Nutritional Security” held at ICAR-National Institute of Plant Biotechnology (NIPB), New Delhi.
  • Sunil Kumar Jha,Virupakshagouda C. Patil,Rekha B.U,Shyamal S. Virnodkar,Sergey A. Bartalev,Dmitry Plotnikov,Evgeniya Elkina,Nilanchal Patel has successfully attended and presented the paper entitled Assessment of Random Forest and Polynomial Regression for Sugarcane Yield Prediction using Vegetation Indices in the 11th International Conference on Computer Science and Computational Mathematics (ICCSCM 2022) 7th-8th July 2022 Langkawi, Malaysia.