Smart Farm with Foodborne Pathogen Monitoring

Authors

  • Daeun Lok Johns Hopkins University
  • Timothy Wright Johns Hopkins University
  • Mayank Bhagchandani Johns Hopkins University
  • Darya Litvinchuk Johns Hopkins University

DOI:

https://doi.org/10.24203/ajbm.v6i6.5180

Keywords:

Biosensor, IoT, Information System

Abstract

Conventional agriculture uses data about real-time climatic conditions, soil (texture, depth, nitrogen levels), illumination, topography, moisture, etc. to make appropriate decisions with regards to sowing, watering, fertilizing, pesticide-treating and harvesting.  However, it does not have a system to monitor pathogens and collect data on the amount of pathogens present in various abiotic factors (e.g. water, soil).  Due to the absence of effective techniques in detecting pathogen contamination at the farm or field level, it is currently difficult to deter a food related illness and outbreak once contamination has been introduced. The purpose of this research is to help identify contamination hazards at the farm using biosensors to detect pathogens in potential sources of contamination, such as water, soil, manure, and air. By adopting Internet of Things (IoT) connectivity, a simple farm can be turned into a smart farm.  The objective of a smart farm is to prevent threats to the farming and food industry by monitoring pathogen levels and using real-time alerts to warn applicable stakeholders when established thresholds have been surpassed.

Author Biography

Daeun Lok, Johns Hopkins University

MS Information Systems

References

Matthews, Karl R., Gerald M. Sapers, and Charles P. Gerba. The Produce Contamination Problem, edited by Karl R. Matthews, et al., Elsevier Science, 2014.

Foodborne Outbreak Online Database (FOOD Tool). (2016, August 25). https://wwwn.cdc.gov/foodborneoutbreaks/

Cost Estimates of Foodborne Illnesses. (2016, October 03). https://www.ers.usda.gov/data-products/cost-estimates-of-foodborne-illnesses/cost-estimates-of-foodborne-illnesses/#Escherichia coli O157

Kowitt, B. (2016, May 06). Why Our Food Keeps Making Us Sick. http://fortune.com/food-[5](Murphy, 2016). Blue Bell's dairy contamination in 2014-2015 resulted in a layoff of 1.450 and furloughing 1.400 out of 3.900 employees and a $125 million loan. [6](Elkind, 2014)

contamination/

Murphy, M. (2016, March 17). Chipotle Food-Safety Problems May Cost It Up To 7% of Customers: CFO. Retrieved March 02, 2017, from http://blogs.wsj.com/cfo/2016/03/17/chipotle-food-safety-problems-may-cost-it-up-to-7-of-customers-cfo/

Elkind, P. (2015, September 25). How ice cream maker Blue Bell blew it. Retrieved March 2, 2017, from http://fortune.com/2015/09/25/blue-bell-listeria-recall/

Callejón Raquel M., Rodríguez-Naranjo M. Isabel, Ubeda Cristina, Hornedo-Ortega Ruth, Garcia-Parrilla M. Carmen, and Troncoso Ana M.. Foodborne Pathogens and Disease. January 2015, 12(1): 32-38. doi:10.1089/fpd.2014.1821.

Painter, J. A. (2013). Attribution of Foodborne Illnesses, Hospitalizations, and Deaths to Food Commodities by using Outbreak Data, United States, 1998–2008-Volume 19, Number 3—March 2013-Emerging Infectious Disease journal-CDC.

Painter, J. A., Hoekstra, R. M., Ayers, T., Tauxe, R. V., Braden, C. R., Angulo, F. J., & Griffin, P. M. (2013, February 25). Attribution of Foodborne Illnesses, Hospitalizations, and Deaths to Food Commodities by using Outbreak Data, United States, 1998–2008. Retrieved March 03, 2017, from https://wwwnc.cdc.gov/eid/article/19/3/11-1866-t1

What is the role of biosensors in next generation health care? (2016, December 29). Retrieved March 01, 2017, from http://www.himss.org/what-role-biosensors-next-generation-health-care-0

Downloads

Published

2018-12-15

How to Cite

Lok, D., Wright, T., Bhagchandani, M., & Litvinchuk, D. (2018). Smart Farm with Foodborne Pathogen Monitoring. Asian Journal of Business and Management, 6(6). https://doi.org/10.24203/ajbm.v6i6.5180