Viability Ground Tests to Predict Reliability and Fidelity in Crop Growing with the Devices and Applications of the Internet of Things

Abstract

The accurate prediction in the field of agriculture is essential for the challenges like shortage for food, deterioration of soil properties and water scarcity. The developments in modern communication protocols and wireless communication standards help to build up accuracy in the smart agriculture. Internet of things technology has brought greater revolution to the common farmer’s life by making everything intelligent and advanced. The IOT self-configuring network enhances agriculture production and crop yields by reducing the wastages and cost. The proposed technology is integrated with arduino technology breadboard mixed with various sensors. Sensors are used to observe ambient temperature, atmospheric humidity, soil electric conductivity, Soil moisture level, Soil status, soil temperature, PH level and Luminance. The intelligent perception system, intelligent process and control system allow farmers to obtain detailed data on real time as variables for the above measures. Wireless sensor networks are used for communicating these data with the help of Artificial Intelligence system. There are various wireless sensor network technologies such as Narrow band Internet of things (NB-IOT), long range (LoRa), Zigbee wireless communication, LTE-M are used to measure and monitor the field agriculture scenarios. There are many smart devices which help the farmers to monitor their crops, atmospheric humidity, and soil conditions to make reasonable decisions. This paper attempts to experiment various field tests to find the precision in farming and agriculture. It is tested on live agriculture fields giving high precision over 98% in data fields.