2019
1.
Nembhard, Fitzroy; Carvalho, Marco M; Tegos, Kleanthis Zisis
The Deployment of RFID Technology on Small Farms in Holopaw, FL: A Community-Centered Effort Proceedings Article
In: 2019 IEEE International Conference on RFID (RFID) (IEEE RFID 2019), Phoenix, USA, 2019.
Abstract | BibTeX | Tags: cyber physical systems, farming, food, IOT, pasture design, RFID, sensors, smart communities, sustainability, UHF
@inproceedings{RFIDDeployment,
title = {The Deployment of RFID Technology on Small Farms in Holopaw, FL: A Community-Centered Effort},
author = {Fitzroy Nembhard and Marco M Carvalho and Kleanthis Zisis Tegos},
year = {2019},
date = {2019-04-02},
urldate = {2019-04-02},
booktitle = {2019 IEEE International Conference on RFID (RFID) (IEEE RFID 2019)},
address = {Phoenix, USA},
abstract = {This paper discusses a solution that deploys passive UHF RFID technology and wireless sensors on small farms to provide intelligence that will help mitigate some disparate socioeconomic conditions in farming communities. Starting with a collaborative effort with farmers in the community of Holopaw, Florida, in the United States, we first propose experiments to observe the feeding patterns of livestock on farms of less than 150 acres in order to improve pasture design. We hypothesize that intelligent pasture design will result in improved utilization, which has far-reaching implications such as improved growth and health of livestock, profitability, and ultimately mitigation of socioeconomic conditions of residents in a given city.},
keywords = {cyber physical systems, farming, food, IOT, pasture design, RFID, sensors, smart communities, sustainability, UHF},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper discusses a solution that deploys passive UHF RFID technology and wireless sensors on small farms to provide intelligence that will help mitigate some disparate socioeconomic conditions in farming communities. Starting with a collaborative effort with farmers in the community of Holopaw, Florida, in the United States, we first propose experiments to observe the feeding patterns of livestock on farms of less than 150 acres in order to improve pasture design. We hypothesize that intelligent pasture design will result in improved utilization, which has far-reaching implications such as improved growth and health of livestock, profitability, and ultimately mitigation of socioeconomic conditions of residents in a given city.