Nipuna Chamara
Research Assistant Professor, Biological Systems Engineering Emphasis Area: Digital Agricultural Systems University of Nebraska-Lincoln
Contact
- Phone
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BSE Front Desk - 402-472-1413
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nchamara2@nebraska.edu
- Website
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Google Scholar Profile
- Social Media
Appointment
- 100% Research
Areas of Research and Professional Interests
- Digital Agriculture (AI, IoT, Sensors, and Instrumentation)
- Agricultural Machinery
- Precision Agriculture
Teaching Interests
- Digital Agriculture
- Computer-Aided Design and Manufacturing
- Electronics and Instrumentation for Agricultural Applications
- AI for Agricultural Applications
Professional Memberships
- American Society of Agricultural and Biological Engineers (ASABE)
- Institute of Electrical and Electronics Engineers (IEEE)
- International Society of Precision Agriculture (ISPA)
Teaching
- BSEN 130 - Computer Aided Design (Fall/Spring)
Research Profiles:
Education
- Ph.D., Biological Engineering, University of Nebraska-Lincoln, USA, (2024)
- M.Sc., Agricultural and Biological Engineering, University of Nebraska- Lincoln, USA, (2021)
- PG Diploma in Manufacturing Systems Engineering, University of Moratuwa, Sri Lanka, (2015)
- B.Sc., (Hons) Mechanical Engineering, University of Moratuwa, Sri Lanka, (2013)
Selected Publications
- Chamara, N., Ge, Y., & Russo, S. (2025). FireLog: An open-source, low-cost system for temperature logging during wildland fires with high spatial and temporal resolution. HardwareX, e00722.
- Balabantaray, A., Behera, S., Liew, C., Chamara, N., Singh, M., Jhala, A. J., & Pitla, S. (2024). Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7). Frontiers in Robotics and AI, 11, 1441371.
- Chamara, N. (2024). Next-generation Crop Monitoring Technologies: Case Studies about Edge Image Processing for Crop Monitoring and Soil Water Property Modeling via Above-Ground Sensors (Doctoral dissertation, The University of Nebraska-Lincoln).
- Chamara, N., Bai, G., & Ge, Y. (2023). AICropCAM: Deploying classification, segmentation, detection, and counting deep-learning models for crop monitoring on the edge. Computers and Electronics in Agriculture, 215, 108420.
- Chamara, N., Islam, M. D., Bai, G. F., Shi, Y., & Ge, Y. (2022). Ag-IoT for crop and environment monitoring: Past, present, and future. Agricultural systems, 203, 103497.
- Chamara, N. (2021). Development of an Internet of Things (IoT) Enabled Novel Wireless Multi Sensor Network for Infield Crop Monitoring.
- Gamlath, R., Gunathilke, H. A. W. S., & Chamara, A. H. M. N. (2018). A study on the current status of mechanization of paddy cultivation in Sri Lanka: case of Anuradhapura District. In Proceedings of 17th Agricultural Research Symposium (Vol. 129, p. 133).
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