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
- Company：IDIoT
- Price：Other
