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Wheat Phenotype Analysis System
Brief introduction
The wheat intelligent measurement system integrates image recognition and deep learning technology to provide multidimensional data support for crop research. The system consists of four core modules:
1) The mu ear number measuring instrument accurately calculates the mu ear number, theoretical yield, and thousand grain weight through multi-point and multi-dimensional analysis, assisting in variety screening and genetic research;
2) The plant height measuring instrument intelligently distinguishes between pseudo stem height, true stem height, and total plant length based on different growth stage standards (seedling stage/jointing stage/grain filling stage, etc.);
3) The angle stem thickness measuring instrument is suitable for multiple crops such as wheat and rice, and can quickly obtain stem shape parameters;
4) The wheat ear shape analyzer relies on mobile visual technology and uses AI image correction algorithms to obtain key indicators such as ear length and spikelet number with just one click. The entire system realizes rapid field sampling, batch analysis, and data interconnection, providing intelligent solutions for breeding optimization, yield prediction, and functional gene analysis.
2、 Application scope
1. The appropriate time for detecting wheat ears per mu is during the heading stage, flowering stage, grain filling stage, and early maturity stage of wheat.
2. The period for measuring the morphology of wheat ears: indoor seed testing period.
3. Wheat angle measurement period: heading stage, flowering stage, grain filling stage, milk ripening stage.
4. Thousand grain weight measurement period: indoor seed testing period.
5. Wheat plant height measurement period: various growth stages.
3、 Technical parameters
1. Number of ears per mu of wheat
(1) Measurement range: 1000mm * 1000mm * (610-1120) mm
1000mm*1000mm*(1010——1920)mm
(2) Measurement error: ≤± 3%
2. Grain ear morphology
(1) Measurement range: 5-25cm
(2) Measurement error: Ear length error: ± 1%
Error in spikelet count: ≤ 3
3. Wheat angle
(1) Measurement range: 0-180 °
(2) Measurement error: ± 1 °
4. Crop stem thickness
(1) Measurement range: 0-8cm
(2) Measurement error: ± 1mm
5. Thousand grain weight
(1) Measurement range: 0-300g
(2) Measurement error: ± 2%
6. Plant height
(1) Measurement range: 5-260cm
(2) Measurement error: ± 1mm
4、 Function Introduction
1. Number of ears per mu of wheat
(1) Introduction
The measurement of wheat ears per mu is mainly used to quickly and accurately measure the number of wheat ears per unit area. This device combines image recognition technology, artificial intelligence algorithms, and high-resolution camera systems to automatically identify and count the number of wheat ears by analyzing wheat images captured in the field, greatly improving measurement efficiency and accuracy.
This device is suitable for various application scenarios such as field investigation, breeding and selection, yield estimation, etc. It plays a crucial role in wheat variety screening, wheat yield prediction, yield gene localization, and functional analysis. It can significantly reduce the errors and labor intensity caused by manual counting. Users only need to select the sample area in the field, take images, and automatically obtain the estimation result of the number of ears per mu, which is a powerful tool for the development of agricultural digitization and intelligence.
(2) Technical parameters
1. Calibration rod range: 1000mm * 1000 * (610-1120) mm
1000mm*1000*(610——1920)mm
2. The calibration pole can be extended up and down to adjust its height
3. Image resolution: 4000 * 3000
4. Camera: 50 megapixel+12 megapixel dual camera
5. Measurement error: ≤± 3%
6. The error of thousand grain weight is ± 2%, and after correction, it can reach 100%.
(3) Functional Features
1. Use AI models to enhance recognition accuracy
2. It is possible to simultaneously detect and batch analyze the number of ears per mu in 60 photos (≤ 60 photos)
3. Data Analysis and Management - Users can view analysis results through the device and export images and data in Excel format.
4. Cloud service support - Automatically upload data to the cloud for remote management and analysis when connected to WiFi/4G networks.
5. Switching between Chinese and English - Built in bilingual display, one click switching
(4) Scope of application
1. Suitable period for wheat ear detection: wheat from the filling stage to the early maturity stage
2. Thousand grain weight can measure the number and thousand grain weight of wheat seeds
2. Grain ear morphology
(1) Introduction
The measurement of wheat ear morphology is a fast and accurate way to measure and analyze the morphological characteristics of wheat ears and other crops. This device integrates high-definition imaging, computer vision, and artificial intelligence algorithms, and can automatically extract key morphological parameters of wheat ear length and grain number. Suitable for field measurements or high-throughput laboratory screening tasks. The instrument supports uploading measurement results to the data platform and exporting them to Excel, effectively improving the efficiency of morphological measurement and the objectivity and repeatability of data.
The wheat ear morphology measurement instrument provides strong technical support for crop phenotype research, variety selection, and yield trait analysis, and is one of the important tools for the development of agricultural intelligence.
(2) Technical parameters
1. Dimensions: 500 * 400 * 25mm
2. Backboard size: 500 * 400 * 5mm
3. Bottom material: Black double-sided fine frosted acrylic
4. Measurement range: 5-25cm
5. Measurement error: ± 1%
6. Image resolution: 4000 * 3000
(3) Functional Features
1. Use AI models to enhance recognition accuracy
2. Ultra lightweight handheld design: convenient for indoor and outdoor measurement use;
3. Large screen color touch screen: Android system, 50 million pixels+12 million pixels dual camera;
4. Simultaneous measurement of multiple ears: The wheat morphological measuring instrument can measure the length of 10 wheat ears at once.
5. Fast measurement speed: The result can be obtained in 3 seconds after taking a photo, and can be processed in batches after taking a photo;
6. Automatic scale calibration: The tilted photos can be automatically corrected to improve measurement accuracy.
7. Wide adaptability: No need for shading treatment.
8. Automatic adjustment of white balance: not affected by environmental conditions such as weather and lighting;
9. Large storage capacity: 256GB for data storage, allowing viewing of historical records, etc.
10. Diversified data viewing: After taking photos for analysis, you can slide to view the results, or view data reports in the history. You can export images and data in Excel format
11. Automatically generate data list: measurement time, images, GPS location information, ear length and other information, saving data organization time.
12. Cloud service support - Automatically upload data to the cloud for remote management and analysis when connected to WiFi/4G networks.
13. Switching between Chinese and English - Built in bilingual display, one click switching
3. Wheat angle stem thickness
(1) Introduction
The measurement of wheat angle and stem thickness is mainly used to efficiently collect key phenotypic characteristics of wheat plants, including the angle between leaves and stems (leaf angle) and stem thickness. This device integrates image processing technology, artificial intelligence recognition algorithms, and a portable hardware platform, which can quickly and accurately complete measurement tasks in field environments.
By collecting images of wheat plants, the system can automatically analyze plant structure, extract key data such as leaf angle and stem diameter, and achieve non-contact, non-destructive, and high-throughput phenotype measurement. The measurement results can be displayed in real time and support export analysis, facilitating subsequent data statistics and variety comparison.
(2) Technical parameters
1. Supporting material: stainless steel
2. Bracket material: black plastic
3. Background material: Aluminum alloy
4. Measurement range: Crop angle: 0-180 °; Crop stem thickness: 0-8cm
5. Measurement error: Crop angle ± 1 °; Crop stem diameter: ± 1mm
(3) Functional Features
1. Ultra lightweight handheld design, convenient for field and indoor measurement use;
2. Large screen color touch screen, Android system, 50 megapixel+12 megapixel dual camera;
3. Fast measurement speed, taking photos takes 3 seconds to get results, and can be processed in batches after taking photos first;
4. The distance between the mobile phone and crops can be freely set, which is suitable for measuring various plants and has strong adaptability;
5. The pressure plate and the rotating shaft handle are connected in an integrated manner, which facilitates the fixation of crop stems and reduces the impact of wind blown grass movement on crop angle photography;
6. Wide environmental adaptability, no need for shading treatment, can measure crop angle and stem thickness data in vitro or in vivo;
7. Automatically adjust white balance, unaffected by environmental conditions such as weather and lighting;
8. Large storage capacity: 256GB for data storage, allowing viewing of historical records, etc.
9. Diversified data viewing: After taking photos and analyzing, measurement results can be viewed, data reports can be viewed in historical records, and images and data can be exported in Excel format;
10. Automatically generate data list: measurement time, images, crop angle, crop stem thickness and other information, saving data sorting time;
11. Applicable crops for crop angle: rice, wheat, rapeseed; Crop stem thickness can be measured for various crops.
12. Cloud service support - Automatically upload data to the cloud for remote management and analysis when connected to WiFi/4G networks.
13. Switching between Chinese and English - Built in bilingual display, one click switching
4. Plant height
(1) Introduction
The wheat plant height measuring instrument is a portable and fast response crop height measurement tool designed specifically for the agricultural field. Adopting built-in optical ranging technology and conducting on-site analysis through built-in algorithms, real-time height data can be obtained.
The standards for measuring plant height of wheat vary at different stages. Wheat plant height generally refers to the distance between the base of the plant and the top of the main stem, which is the growth point of the main stem.
(2) Technical parameters
1. Measurement range: 5-260cm
2. Measurement accuracy: 1mm
3. Measurement method: optical ranging
4. Shell material: Aluminum alloy
5. Software System: Android
6. Working hours: Continuous work capacity exceeding 10 hours
(3) Functional Features
1. New measurement technology - using built-in optical ranging technology instead of traditional photographic methods, the lighting system is completely enclosed, with no light leakage, reducing the impact of environmental factors and ensuring accurate real-time measurement under any conditions.
2. Wide applicability - can be used for measuring various tall and short crops simultaneously, without the need to replace equipment, one machine can be used for multiple purposes
3. Convenient operability - The device is designed as an integrated unit, without the need for assembly, making it easy to carry and use directly in the field
4. Intelligent component integration - including measuring rods, smartphones, and dedicated applications (APPs), supporting data viewing and management through cloud or mobile devices.
5. Strong flexibility - The mobile phone can be fixed or handheld, and can move freely within a range of up to 10 meters from the measuring rod during the measurement process, making it convenient to capture images of the entire plant.
6. Improve accuracy - The measuring rod is equipped with a level and a stable bracket to ensure stability and accuracy during the measurement process.
7. Large capacity storage - Built in 128GB storage space, capable of saving measurement dates, crop types, measurement results, geographic locations, crop photos, and note information simultaneously.
8. Data Analysis and Management - Users can view analysis results through the device and export images and data in Excel format.
9. Cloud service support - Automatically upload data to the cloud for remote management and analysis when connected to WiFi/4G networks.
10. Wide applicability - minimum measurement height of 0.05 meters, maximum measurement height of 2.6 meters, suitable for most types of crop height measurement needs.
11. Switching between Chinese and English - Built in bilingual display, one click switching