Cattle Diseases Prediction using IOT and ML – A Review
Namana A1, Nishkala Gowda B Y2, Pratheeksha C3, Prajwal K S4, Charunayana V5
1Namana A*, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
2Nishkala Gowda B Y, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
3Pratheeksha C, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
4Prajwal KS, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
5Charunayana V, Assistant professor, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
Manuscript received on July 14, 2020. | Revised Manuscript received on July 25, 2020. | Manuscript published on August 10, 2020. | PP: 169-173 | Volume-9 Issue-10, August 2020 | Retrieval Number: 100.1/ijitee.I7009079920 | DOI: 10.35940/ijitee.I7009.0891020
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to the everchanging environment, the cattle’s are in risk of getting affected by diseases and this in turn affects the economy. There will low productivity, less yield . It is still hard to forestall farm animals sicknesses using current monitoring systems that tune cattle activity and consequently the environmental situations of cattle .In this paper, we design a cattle health monitoring system using IOT and ML to a prevent livestock diseases, like anthrax disease, using dedicated sensors. We collect information using various. With the assistance of machine learning algorithm, we will predict the disease and send notification to the respective cattle owner and also the doctor in charge.
Keywords: Accelerometer, Dallas temperature, ESP8266 Wi-Fi module, IOT, Machine learning, Microphone, Node MCU.
Scope of the Article: Machine learning