利用物联网和图像分析的果树监测系统

S. Behera, Dr. Prabira Kumar Sethy, S. Sahoo, S. Panigrahi, Sharad Chandra Rajpoot
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引用次数: 13

摘要

果树上监测是提供果树质量、数量和成熟程度的准确状态的一项重要措施。在大型农场中,很难通过人工查看每棵树来获取有关果实的知识。再次,人工检测方法耗时长,劳动强度大,容易出错。图像处理和物联网是各自应用于各个领域的先进技术。在农业领域,图像处理被应用于农作物的诊断。在传感器的帮助下,基于物联网的系统能够远程监控现场状况。本文提出了一种图像处理与物联网相结合的果树监测框架。İn加上相关系数R2分别为0.994和0.997的树上计数和规模估计。
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On-tree fruit monitoring system using IoT and image analysis
On-tree fruit monitoring is an important practice to provide the exact status of the fruits concerning its quality, quantity and degree of maturity in the farm. In large farm, it is difficult to look over the individual tree manually to acquire the knowledge about the fruits. Again, the manual inspection method is time-consuming, labor intensive and erroneous. The image processing and IoT are the advance techniques applied in diverse field individually. In agriculture sector, image processing is applied for diagnosis of crops. With help of sensors, the IoT based system able to monitor the condition of field remotely. This paper suggests a frame work, which is the combination of image processing and IoT for on-tree fruit monitoring. İn addition, the on-tree counting and size estimation in terms of coefficient of correlation (R2) are 0.994 and 0.997 respectively.
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