Yield prediction through sensor integration for agriculture.
Support yield forecasting through the efficiency and stabilization of data collection!
In the agricultural sector, various factors such as climate change and soil conditions affect yield. Accurate yield forecasting is essential for timely harvesting and sales strategies. However, traditional data collection methods have been time-consuming and labor-intensive, with limitations in data accuracy. Our sensor integration solution centrally manages data from multiple sensors and efficiently collects the information needed for yield forecasting. 【Use Cases】 - Environmental monitoring of fields (temperature, humidity, sunlight, etc.) - Understanding soil conditions (moisture levels, fertilizer components, etc.) - Visualization of growth conditions 【Benefits of Implementation】 - Data-driven precision cultivation management - Maximization of harvest yield - Cost reduction
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【Features】 - Centralized control of multiple sensors by the CPU. - Realization of a system for bulk acquisition and transfer of vast sensor data. - Technology for handling "sensors" that convert analog signals to digital. - Technology that connects sensors, CPUs, and the cloud. 【Our Strengths】 Leave your IoT system needs to us. We provide ideal IoT systems for our customers quickly and at a low cost. We eliminate all "preparatory work" (wasteful tasks) and create an environment that generates added value from visualized information.
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Our company provides ideal IoT systems for customers quickly and at a low cost. We eliminate all "preparatory work" (wasteful tasks) and create an environment that generates added value from visualized information. Focusing on the "3Cs" of Connect, Collect, and Coordinate, we visualize various data to achieve management, development, and research objectives.