Agricultural Sprayer Based on Drip Performance Monitoring System Design and Analysis Agricultural sprayers play an important role in plant protection and have a great role in promoting agricultural production, disaster prevention and mitigation. However, with the attention of the state to environmental protection and the demand for agricultural production in the past year, there is a high demand for pesticide application. Therefore, the monitoring of the fogging performance of agricultural sprayers has been proposed. In this paper, through the analysis of the effects of drip and fog on the pests and diseases, the main factors affecting the performance of drip fog are studied. The automatic system is designed to monitor the agricultural sprayer to achieve the control of the drip performance, in order to obtain the best spray effect and provide the agricultural production efficiency. Reference

Interactive Cultivation System for the Future IoTBased Agriculture As initiatives to increase Japanu0027s declining food selfsufficiency rate and revitalize the field of agriculture, the concept of smart agriculture and urban agriculture are currently being implemented. Automation via Artificial Intelligence is expected to overcome the labor shortage in the agricultural industry. However, the number of skilled farmers who can contribute to gathering crop growth data required for machine learning is restricted, and these data are also limited to localand environmentalbased conditions. In this paper, we propose a system for obtaining composite growth data in various environments and crops targeted for home gardens and paddy fields. An interactive cultivation sensing system consisting of IoTbased technologies is designed and realized to ensure the continuous growth of crops in optimum conditions daily. With this, progress will be made in determining the efficient cultivation conditions for machine learning, and in finding solutions to future problems of agriculture.