Product Category

Fruit phenotypic analysis utilizes technologies such as image recognition and 3D Gaussian Splatting to achieve model imaging and analysis. This product employs the latest AI imaging analysis technology to scan fruits such as apples, oranges, pears, and watermelons under multi-view conditions. It constructs 3D fruit models by generating 3D point cloud maps and dynamically rendering fruit surface textures. Simultaneously, during the model imaging process, it analyzes the fruit's morphology, texture, color, and other features.

Background: The Real Needs of a Grassroots Testing Station

In 2025, a county-level agricultural technology extension center purchased a Laiyin Technology IN-HT200 soil nutrient analyzer for routine soil testing and fertilizer recommendation services. The following is a record of its actual use six months after its deployment.

In modern agricultural production, crop health directly impacts yield and quality. However, in complex natural environments, crops often face multiple stressors, such as drought, pests and diseases, nutrient deficiencies, and soil salinization. These stresses not only reduce crop growth potential but can also lead to severe economic losses. Therefore, timely detection and assessment of crop stress levels has become a key issue in agricultural management. In recent years, with technological advancements, portable chlorophyll fluorometers, as a rapid and non-destructive detection tool, have been increasingly applied to crop stress monitoring in farmland, providing crucial technical support for agricultural production.