IoT Based Smart Farming using Decision Support System (original) (raw)

Development in the agricultural process by adopting technology will be very useful in cultivation. Now in the agricultural sector, without understanding or monitoring the essential soil parameters, crop cultivation will be challenging and so the farmers may undergo financial losses. In agriculture, Expert systems are applied in a broad range of operations. Farmers usually depend on an agricultural specialist for decision making regarding crops, fertilizers, and farmland. This system can be used by the user having little knowledge of computer usage. It is a knowledge build decision support system for generating a decision on the basis of pre-existing knowledge. The development of IoT based devices for farming is changing the way of agriculture production by not only improving it but also making it cost-effective moreover time-efficient. Now a day's expert system and their decisions play an important role in every field. This study aims to design a decision support system for testing on various soil parameters. The results obtained by the system will be time-efficient and readily available to the farmers along within the limits set by the domain experts. This system can be used as decision support for monitoring soil by sensors. Multiple soil sensors are used to measure temperature, moisture, light, humidity, and PH value. The information from these soil sensors dipped into the soil sample is sent to the decision support system for the analysis. Finally, we can see the information saved to the server on the mobile phone as well as the laptop. Based on the information, we know which crop is suitable according to the particular soil parameter. Thus, this advanced technology with a decision support system helps the farmers to know the exact parameters of the soil making the soil testing method easier.