YMJ-P photographic blade area meter Introduction: The YMJ-P photographic leaf area meter (computer version) consists of image acquisition equipment and image processing software. It uses our company's newly developed image recognition software and utilizes technologies such as leaf contour feature extraction, graphic object conversion, and edge detection to accurately and quickly obtain parameters such as measured leaf area, perimeter, and number of wormholes. Compared to traditional leaf area, it has the advantages of faster and simpler measurement, more vivid and objective results, diverse data, and greatly reduces errors caused by human operations. Technical parameters: Measurement parameters: leaf area, perimeter, length, width, rectangles, concavity to convexity ratio, sphericity, shape coefficient, number of wormholes, wormhole area, etc Applicable scope: Various common leaves that are complete or contain wormholes Measurement range: 1-600 square centimeters Blade length: 0-290mm Larger leaf width: 0-210mm Measurable wormhole range: not less than 0.1 square centimeters Measurement accuracy: 1% (greater than 30cm2), 2% (less than 30cm2) Host storage capacity: Depends on the hard disk space of the host device, with an average of 1-3 MB per group Stability: Changes within one year<± 2% Average response time: 100ms Application temperature: -30 ℃ -80 ℃; Relative humidity 0-100% Host parameters: Software system: Windows 7 and above Memory at least 2GB, recommended 4GB Hard disk: 50GB, recommended 100GB or above Interface: USB-A Image acquisition instrument parameters: Camera resolution: 2592 * 1944 pixels Auto/Manual Focus: Manual Fill light: High brightness LED Unlimited dimming: not supported Lens support rod retractable: Yes
Introduction: The YMJ-P photographic leaf area meter (computer version) consists of image acquisition equipment and image processing software. It uses our company's newly developed image recognition software and utilizes technologies such as leaf contour feature extraction, graphic object conversion, and edge detection to accurately and quickly obtain parameters such as measured leaf area, perimeter, and number of wormholes. Compared to traditional leaf area, it has the advantages of faster and simpler measurement, more vivid and objective results, diverse data, and greatly reduces errors caused by human operations.
