A Prediction Model of Smart Agriculture Based on IoT Sensor Data: A Systematic Literature Review

Abstract

In recent years we have faced drastic climate change which have affected various areas of life but especially those of agronomy. The most critical factor for grape quality and quantity is climate changes. Sensing devices are helping different sectors, especially in agriculture, the data are transferred throw Internet protocols and the field is known as Internet of Things. The fact of collecting IoT sensor Data from SmartAgriculture and SmartCity sensors is known as “smart agriculture” which consists of activities such as monitoring of cultivation, identification of diseases, define the period of time for fertilization of agriculture products, etc. This paper presents a systematic literature review to identify main researches in this field and further developments. According to prior observation of published research conducted since 2018, we are focusing our research on studies that have been published in areas that are relevant to smart agriculture; data mining for smart agriculture; predictive algorithms for smart agriculture; predictive model of smart agriculture on IoT sensor data and smart agriculture and IoT technologies. The number of papers in this field is huge for this reason is very important to conduct a review to see current development and find key components for future works.