Introduction: Plant leaves are important organs for plants to synthesize organic matter for photosynthesis. The size of the leaf area directly affects the yield of crops to a certain extent. Therefore, it is convenient and accurate to establish a method for measuring leaf area. It is necessary to guide the research on crop physiological mechanism, agricultural production practice and formulating high-yield, high-quality and high-efficiency cultivation techniques. Positive meaning. The LAM-C photo-type leaf area meter is composed of an image acquisition instrument and a flat plate loaded with self-developed software. It adopts the area measurement algorithm accumulated by the company for many years, and can image according to the features of blade contour feature extraction, graphic object transformation and edge detection. Quickly obtain parameters such as the measured leaf area, perimeter, and number of wormholes. Compared with the traditional leaf area, it has faster and easier measurement, more objective results, more diverse data and greatly reduced errors caused by human operation. Features: 1. The host is a 7-inch tablet with Android system, which is easy to operate and easy to upgrade. 2. Data viewing diversification: data can be stored, reports can be viewed, and data can be exported to a computer or WiFi to be uploaded to a server. 3. With manual correction function, it can cut, repair and cut the blade handle according to the contour of the blade to ensure high precision. 4. After taking a picture, the system can automatically calculate the area, perimeter, leaf length, leaf width, shape factor, number of wormholes and display on the same screen. The collector comes with controllable LEDs and a custom transparent, anti-reflective platen that allows the leaves to be measured in a flat, unshaded condition. 5. The data is saved as a picture, and the data can be uploaded in excel form. 6. Automatically measure the result after taking pictures, avoiding the error caused by the artificial operation of the traditional leaf area, and the measurement is more intelligent. 7. The measuring speed is fast, and the area measuring time is less than 1 second. Technical Parameters: Measurement parameters: leaf area, perimeter, maximum leaf length, leaf width, sphericity, shape factor, number of wormholes, wormhole area, etc. Scope of application: all kinds of common leaves with complete or containing wormholes Measuring range: 1-600 square centimeters Blade length: 0-297mm Maximum leaf width: 0-210mm Detectable wormhole range: not less than 0.5 square centimeter Measurement accuracy: 2% (greater than 30cm2), 3% (less than 30cm2) Host storage capacity: 2000 groups or more Stability: <±2% change within one year Response time: 50ms Application temperature: -30 ° C -80 ° C; relative humidity 0-100% Host parameters: Software system: Android 4.2.2 or higher Size: 7 inch IPS capacitive touch screen Memory: 32GB Network support: WLAN (802.11 a/b/g/n) wireless network, Bluetooth 4.0 Interface: micro USB Standard charging power supply: DC5V1A Battery capacity: 3000mAH Size: 187x111x 9.3mm Weight: 266 grams
Introduction: Plant leaves are important organs for plants to synthesize organic matter for photosynthesis. The size of the leaf area directly affects the yield of crops to a certain extent. Therefore, it is convenient and accurate to establish a method for measuring leaf area. It is necessary to guide the research on crop physiological mechanism, agricultural production practice and formulating high-yield, high-quality and high-efficiency cultivation techniques. Positive meaning. The LAM-C photo-type leaf area meter is composed of an image acquisition instrument and a flat plate loaded with self-developed software. It adopts the area measurement algorithm accumulated by the company for many years, and can image according to the features of blade contour feature extraction, graphic object transformation and edge detection. Quickly obtain parameters such as the measured leaf area, perimeter, and number of wormholes. Compared with the traditional leaf area, it has faster and easier measurement, more objective results, more diverse data and greatly reduced errors caused by human operation.
