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A Hybrid System for Smart Agriculture Utilizing IoT and Machine Learning

EasyChair Preprint no. 9653

8 pagesDate: February 3, 2023


IoT has emerged as one of the most advanced techniques of the 21 century in recent years. With the help of low cost computation, big data, cloud technology, embedded system and mobile technology, physical objects are able to communicate and collect information with minimal human interaction. This major motive of the paper is to demonstrate how the IoT is adaptable to variety of fields, for instance healthcare, agriculture, manufacturing, logistics, and transportation. For smart healthcare application, this paper discusses an e-health data acquisition, transmission, and monitoring system for cardiac patient in which the health parameters of patients are monitored by a wireless sensor network and relayed to the far end through GPRS. For smart agriculture application this paper discusses an autonomous irrigation system, in which a sensor analyses soil humidity and waters the plant accordingly, saving time and water and requiring less human work.

Keyphrases: E-health data acquisition system, Humidity, Internet of Things, Irrigation, Raspberry Pi, Sensors, Smart Farming, Smart Healthcare, Temperature

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Nitin Kumar Vishwakarma and Ragini Shukla and Ravi Mishra},
  title = {A Hybrid System for Smart Agriculture Utilizing IoT and Machine Learning},
  howpublished = {EasyChair Preprint no. 9653},

  year = {EasyChair, 2023}}
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