IoT-based fertilizer recommendation system

The main factor for plant growth is fertilization. Fertilization is one of the important processes in plant growth that aims to add nutrients that are completely absorbed by plants. But excessive fertilization can damage the soil structure as well as plants become vulnerable to pests and wasting costs. However, until now, many farmers still apply fertilizer without knowing for sure the nutrient content of the soil; Meanwhile, checking the nutritional content of plants uses chemical solutions and sensors which are relatively expensive, making it difficult for farmers to implement. Based on this problem, this research aims to propose a new approach in the accuracy of fertilization based on soil pH sensors., by utilizing Internet of Things technology, this research focuses on providing recommendations for IoT-based fertilizers using soil pH sensors, the results of the sensors will be correlated with nutrients contained in the soil. Prediction of soil nutrient content is obtained from the correlation between plant environmental conditions. With this system, farmers can monitor the soil density around the plant and get fertilization recommendations through smartphones, and will get notifications of dosage recommendations and types of fertilizers if the pH condition is beyond the normal limit that has been determined. Based on the trials that have been carried out, the system can run well.