In the agriculture sector, the problem of identifying and counting the amount of fruit on trees plays an important role in crop estimation. The concept of renting and leasing a tree is becoming popular, where a tree owner leases the tree every year before the harvest based on the estimated fruit yeild. The common practice of manually counting fruit is a time-consuming and labor-intensive process. It’s one of the hardest but most important tasks in order to obtain better results in your crop management system. This estimation of the amount of fruit and flowers helps farmers make better decisions—not only on only leasing prices, but also on cultivation practices and plant disease prevention.
This is where an automated machine learning (ML) solution for computer vision (CV) can help farmers. Amazon Rekognition Custom Labels is a fully managed computer vision service that allows developers to build custom models to classify and

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