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SENSING SYSTEM FOR REAL-TIME MEASUREMENT OF SEED SPACING, DEPTH, AND GEO-LOCATION OF CORN: A PROOF-OF-CONCEPT STUDY

机译:玉米种子间距,深度和地理定位的实时测量传感系统:概念证明研究

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摘要

Proper seed placement during planting is critical for achieving uniform emergence, which optimizes the crop for maximum yield potential. While uniform plant spacing and seeding depth are often used by corn growers to determine the performance of precision planters, these parameters can be influenced by factors other than machinery, such as seed germination, insects, diseases, and soil properties (e.g., temperature and moisture). Currently, the ideal way to determine planter performance is to manually measure plant spacing and seeding depth. However, this process is both cost- and labor-intensive and prone to human errors. Therefore, this study aimed to develop and test a proof-of-concept sensing and measurement (SAM) system to measure seed spacing and seeding depth and provide the geo-location of each planted seed. The system consisted of a high-speed camera, light section sensor, potentiometer, and survey-grade real-time kinematic (RTK) global positioning system (GPS) unit. Results demonstrated the potential of the proof-of-concept SAM system for measuring seed spacing, seeding depth, and geo-location of corn seeds. Results showed that seed spacing can be calculated using the generated stitched images, achieving a root mean squared error (RMSE) of 0.63 cm and a coefficient of determination (R-2) of 0.87 when compared to actual seed spacing measurements. Likewise, 98% of the recorded seeding depths were within the acceptable tolerance of +/- 10% error. Finally, GPS coordinates were recorded for individual images, which can be used to locate individual seeds and provide detailed information on missing plants (no seeds).
机译:种植过程中的适当种子放置对于实现统一的出现至关重要,这优化了作物的最大产量潜力。虽然玉米种植者通常使用均匀的植物间隔和播种深度来确定精密种植者的性能,但这些参数可能受到机器以外的因素的影响,例如种子萌发,昆虫,疾病和土壤性质(例如,温度和水分)。目前,确定播种机性能的理想方式是手动测量植物间距和播种深度。然而,这个过程既成本和劳动密集型,易于人类错误。因此,本研究旨在开发和测试概念验证感测和测量(SAM)系统,以测量种子间距和播种深度,并提供每种种子种子的地理位置。该系统由高速摄像头,光段传感器,电位器和测量级实时运动(RTK)全球定位系统(GPS)单元组成。结果证明了概念证据SAM系统的潜力,用于测量种子间距,播种深度和玉米种子的地理位置。结果表明,与实际种子间距测量相比,可以使用所产生的缝合图像计算种子间距,实现0.63cm的根部平均平方误差(RMSE),并且测定系数(R-2)(R-2)为0.87。同样,98%的记录的播种深度在+/- 10%误差的可接受耐受性范围内。最后,为单个图像记录GPS坐标,其可用于定位单个种子并提供有关缺失植物(无种子)的详细信息。

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