Nipuna Chamara

Personal Details

First Name:	Nipuna
Middle Name:
Last Name:	Chamara
Suffix:
RePEc Short-ID:	pch2374
	[This author has chosen not to make the email address public]
	https://bse.unl.edu/person/nipuna-chamara/

Affiliation

Department of Agricultural Economics
University of Nebraska

Lincoln, Nebraska (United States)
http://agecon.unl.edu/
RePEc:edi:daunlus (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Chamara, Nipuna & Islam, Md Didarul & Bai, Geng (Frank) & Shi, Yeyin & Ge, Yufeng, 2022. "Ag-IoT for crop and environment monitoring: Past, present, and future," Agricultural Systems, Elsevier, vol. 203(C).

   Cited by:

   1. Wu, Menglong & Xiong, Jiajie & Li, Ruoyu & Dong, Aihong & Lv, Chang & Sun, Dan & Abdelghany, Ahmed Elsayed & Zhang, Qian & Wang, Yaqiong & Siddique, Kadambot H.M. & Niu, Wenquan, 2024. "Precision forecasting of fertilizer components’ concentrations in mixed variable-rate fertigation through machine learning," Agricultural Water Management, Elsevier, vol. 298(C).
   2. Piancharoenwong, Assanee & Badir, Yuosre F., 2024. "IoT smart farming adoption intention under climate change: The gain and loss perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
   3. Capurro, Maria C. & Ham, Jay M. & Kluitenberg, Gerard J. & Comas, Louise & Andales, Allan A., 2024. "A novel sap flow system to measure maize transpiration using a heat pulse method," Agricultural Water Management, Elsevier, vol. 301(C).
   4. Jun Liu & Chenggang Zhou & Haoyuan Wei & Jie Pi & Daoying Wang, 2025. "Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing," Agriculture, MDPI, vol. 15(2), pages 1-17, January.
   5. Wu, Fengqi & Guo, Simeng & Huang, Weibin & Zhang, Zhenggui & Han, Yingchun & Wang, Zhanbiao & Wang, Guoping & Feng, Lu & Li, Xiaofei & Lei, Yaping & Zhi, Xiaoyu & Yang, Beifang & Zhang, Shijie & Xiong, 2024. "Extreme rainfall and soil water consumption differences increase yield shedding at lower fruiting branches, reducing cotton water productivity under different sowing dates," Agricultural Water Management, Elsevier, vol. 305(C).
   6. Zhang, Junxiao & Thapa, Kantilata & Bai, Geng (Frank) & Ge, Yufeng, 2025. "Improved estimation of stomatal conductance by combining high-throughput plant phenotyping data and weather variables through machine learning," Agricultural Water Management, Elsevier, vol. 309(C).

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Corrections

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