Rashmi Priya Sharma

Rashmi Priya Sharma

Postdoctoral Fellow
Universty Of Missouri Columbia, MO, USA

Publication in SCI (Clarivate) Journal:

  1. Rashmi Priya Sharma, Ramesh Dharavath, Damodar R. Edla. “IoFT-FIS: Internet of farm things based prediction for crop pest infestation using optimized fuzzy inference system.”. Internet of Things (Q1), (Elsevier), vol.7(21), pp. 100658 (2023). (IF: 5.711).
  2. Pal Pankaj, Rashmi Priya Sharma, Tripathi Sachine, Kumar Chiranjeev, Ramesh Dharavath. “NSGA-III Based Heterogeneous Transmission Range selection for Node Deployment in IEEE 802.15.4 Infrastructure for Sugarcane and Rice Crop Monitoring.”. IEEE Transactions on Wireless Communications (Q1), Early Access (2023). (IF: 8.346).
  3. Pal Pankaj, Rashmi Priya Sharma, Tripathi Sachine, Kumar Chiranjeev, Ramesh Dharavath. “Machine Learning Regression for RF Path Loss Estimation Over Grass Vegetation in IoWSN Monitoring Infrastructure”. IEEE Transactions on Industrial Informatics (Q1), vol.18(10) pp.6981-6990, (2022). (IF: 11.648).
  4. Rashmi Priya Sharma, Ramesh Dharavath, Pal Pankaj, Tripathi Sachin, and Kumar Chiranjeev. “IoT enabled IEEE 802.15. 4 WSN monitoring infrastructure driven Fuzzy-logic based Crop pest prediction.”. Internet of Things Journal (Q1), (IEEE), vol. 9(4), pp. 3037-3045, (2022). (IF: 10.238).
  5. Pal, Pankaj, Rashmi Priya Sharma, Sachin Tripathi, Chiranjeev Kumar, and Dharavath Ramesh. “2.4 GHz RF Received Signal Strength Based Node Separation in WSN Monitoring Infrastructure for Millet and Rice Vegetation.” IEEE Sensors Journal vol. 21(16) pp 18298-18306, (2021). (IF: 10.238)
  6. Pal, Pankaj, Rashmi Priya Sharma, Sachin Tripathi, Chiranjeev Kumar, and Dharavath Ramesh. “Genetic algorithm optimized node deployment in IEEE 802.15. 4 potato and wheat crop monitoring infrastructure.” NATURE Scientific Reports vol. 11, pp. 8231 (2021). (IF: 4.996)
  7. Rashmi Priya Sharma, Ramesh Dharavath, and U. Venkanna. “NSGA-2 Optimized Fuzzy Inference System for Crop Plantation Correctness Index Identification.” Transactions on Sustainable Computing, (IEEE), vol.7(1), pp. 172-188 (2022). (IF: 4.908).
  8. Rashmi Priya Sharma and Ramesh Dharavath. “ML based sustainable precision agriculture: A future generation perspective.” Sustainable Computing: Informatics and Systems, (Elsevier), vol. 28, pp. 100439 (2020). (IF: 4.923).
  9. Khoshla Ekaansh, Rashmi Priya Sharma, Ramesh Dharavath,“Crop yield prediction using aggregated rainfall-based modular artificial neural networks and support vector regression,” Environment, Developmentand Sustainability (Q2), (Springer), vol. 22(6), pp. 5687-5708,(2019). (IF: 3.219).
  10. Rashmi Priya Sharma, Ramesh Dharavath, and Khosla Ekaansh, “Biodegradation of pesticides using densitybased clustering on cotton crop affected by Xanthomonas malvacearum,”, Environment, Development and Sustainability (Q2), (Springer), vol. 22(2), pp. 1353-1369,(2020). (IF: 3.219).

Research Paper Published in Conference:

  1. Rashmi Priya Sharma, Dharavath Ramesh, and Ekaansh Khosla. “Crop prediction on the region belts of India: a Naïve Bayes MapReduce precision agricultural model.”2018 international conference on advances in computing, communications and informatics (ICACCI). IEEE, 2018.
  2. Rashmi Priya Sharma, and Dharavath Ramesh. “Adaboost. rt based soil npk prediction model for soil and crop specific data: A predictive modelling approach.” International Conference on Big Data Analytics. Springer, Cham, 2018.
  3. Ekaansh Khosla, Dharavath Ramesh, Rashmi Priya Sharma, and Samuel Nyakotey. “RNNs-RT: Flood based Prediction of Human and Animal deaths in Bihar using Recurrent Neural Networks and Regression Techniques.” Procedia computer science 132 (2018): 486-497.

Data Repository:

  1. Agro Glean System, Pankaj Pal, Rashmi Priya Sharma, November 11, 2020, “Effect of Paddy Rice vegetation on received signal strength between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)”, IEEE Dataport, doi: https://dx.doi.org/10.21227/j5xy-3e81.
  2. Agro Glean System, Pankaj Pal, Rashmi Priya Sharma, November 11, 2020, “Effect of Paddy vegetation on path-loss between CC2650 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)”, IEEE Dataport, doi: https://dx.doi.org/10.21227/d93c-dd49.
  3. Agro Glean System, Pankaj Pal, Rashmi Priya Sharma, November 11, 2020, “Effect of millet vegetation on received signal strength between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)”, IEEE Dataport, doi: https://dx.doi.org/10.21227/0j8q-nb57.
  4. Agro Glean System, Pankaj Pal, Rashmi Priya Sharma, November 11, 2020, “Effect of Sugarcane Vegetation On Path-Loss Between CC2650 and CC2538 Soc Based Sensor Nodes Operating At 2.4 Ghz Radio Frequency (Rf)”, IEEE Dataport, doi: https://dx.doi.org/10.21227/8mcm-hx34.