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.

现场水果监测是一项重要的实践，可提供有关水果质量，数量和成熟度的准确信息。在大型农场中，很难手动查看各个树以获取有关果实的知识。再次，手动检查方法是费时，费力且错误的。图像处理和物联网是分别应用于各个领域的先进技术。在农业领域，图像处理被用于农作物的诊断。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。本文提出了框架工作，该框架工作是图像处理和物联网的结合，用于树上水果监测。此外，根据相关系数（R²）分别为0.994和0.997。