Smart Farm with Foodborne Pathogen Monitoring


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



Biosensor, IoT, Information System


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


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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).