Precise crop monitoring relies on comprehensive and multi-dimensional data support, and the project’s innovative multi-scale, multi-modal data collection strategy has broken the limitations of traditional single-point and single-dimensional monitoring, effectively serving outdoor greenhouse, custom greenhouse and mini greenhouse. The strategy takes the lead in combining UAV macro remote sensing with minimally invasive, in-situ and rapid detection technology of plant sap based on new solid-state ion electrodes, adopting a "group-individual" and "macro-micro" combined approach to collect data, which is fully applicable to the diverse monitoring needs of outdoor greenhouse, custom greenhouse and mini greenhouse.
In outdoor greenhouse, the UAV macro remote sensing plays a key role in large-area crop group monitoring. Outdoor greenhouse usually covers a large area, and manual monitoring is time-consuming and labor-intensive, while fixed equipment is difficult to achieve full coverage. The UAV equipped with high-resolution cameras, multispectral sensors and thermal imaging equipment can fly over the entire outdoor greenhouse, collecting image, spectral, temperature and other multi-dimensional data of crop groups. This data can reflect the overall growth trend of crops in the outdoor greenhouse, such as whether there is widespread nutrient deficiency, water stress or pest infestation. For example, in an outdoor greenhouse planting cucumbers, the UAV can quickly identify the area with abnormal canopy temperature, indicating possible water shortage, and provide a basis for targeted irrigation.
For custom greenhouse, which often plants special crops or adopts unique planting modes, the data collection strategy can be customized to meet personalized monitoring needs. Different custom greenhouses have different requirements for crop monitoring indicators—for example, a custom greenhouse for medicinal herbs may need to focus on specific nutrient ion content, while a custom greenhouse for flowers may pay more attention to flower bud development status. The UAV macro remote sensing of the system can adjust the data collection parameters according to the needs of the custom greenhouse, and the solid-state ion electrode technology can accurately detect the specific ion concentration in the plant sap of target crops, realizing personalized data collection for the custom greenhouse.
In mini greenhouse, the combination of macro and micro data collection meets the detailed monitoring needs of small-scale planting. Although the planting area of mini greenhouse is small, users often hope to obtain accurate growth information of each crop to ensure high-quality production. The UAV can complete the macro scanning of the entire mini greenhouse in a short time, and then the solid-state ion electrode can perform targeted in-situ detection on individual crops with abnormal growth, quickly finding out the causes of problems such as poor growth. For example, in a mini greenhouse for potted vegetables, the UAV can first locate the potted plants with yellowing leaves, and then the electrode technology can detect the nitrogen ion content in the plant sap, determining whether the problem is caused by nutrient deficiency.
The "group-individual" data collection mode is particularly suitable for the management of outdoor greenhouse, custom greenhouse and mini greenhouse. In outdoor greenhouse, group data helps managers grasp the overall situation, while individual data can be used to analyze the causes of local problems; in custom greenhouse, group data ensures the consistency of crop growth in the whole greenhouse, and individual data meets the refined management requirements of special crops; in mini greenhouse, group data provides a comprehensive overview of small-scale planting, and individual data helps users take targeted measures for each crop. This mode avoids the one-sidedness of single-scale data, making the monitoring results more reliable.
In addition, the multi-modal data collected by the system—including image, spectral, temperature and plant sap ion concentration data—provides rich information for subsequent AI analysis. For outdoor greenhouse, the combination of spectral data and temperature data can accurately judge crop water and nutrient status; for custom greenhouse, the combination of ion concentration data and growth image data can evaluate the quality of special crops; for mini greenhouse, the integration of multi-modal data can provide a complete growth report for each crop. This multi-dimensional data support enables the system to adapt to the diverse monitoring needs of outdoor greenhouse, custom greenhouse and mini greenhouse, laying a foundation for precise crop management.
