Role of Internet of Things and Machine Learning in Precision Agriculture: A Short Review

Autor: Rajeev Sobti, Dushyant Kumar Singh
Rok vydání: 2021
Předmět:
Zdroj: 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC).
Popis: Precision Agriculture deals with the use of technology for modernizing agriculture. This is required as many of the agriculture practices utilize agriculture resources inefficiently like conventional methods of irrigation utilizing irrigation water. Internet of Things – IoT, Wireless Sensor Networks – WSN, and Machine Learning – ML are the technologies contributing and providing a lot of opportunities in Precision Agriculture. Precision Agriculture with IoT is also termed Agriculture 4.0. This article reviewed the various agricultural application makes the most use of these technologies. IoT with WSN nodes provides the mechanism for monitoring the agriculture variable along with the provision of control. IoT with ML helps in the monitoring and predicting the farmland or crop requirement such as irrigation requirement prediction. Various ML algorithms in the different agricultural applications are reviewed. The article also highlighted the challenges of using IoT and WSN for Precision Agriculture.
Databáze: OpenAIRE