Wastes from fields and wastes from processing are the two kinds of agricultural wastes. Field wastes are present after harvesting crops and include stems, leaves, and stalks, and waste after processing crops includes seeds, peels, husks, etc.
Malaysia, Indonesia and Thailand are also responsible for producing more than 90 per cent of global palm oil, which consequently causes 27 million tonnes of waste per annum from fruit bunches (EFBs), fibres, shells and liquid effluent.
Artificial intelligence can be used, for example, to classify fruit varieties or to identify damaged parts, e.g. apples with marks or color deviations. To cover all possible variances with classical image processing would be very time-consuming and costly. With artificial intelligence, however, these challenges can be solved in no time at all. IDS NXT ocean is a user-friendly all-one-one system which requires neither special knowledge in deep learning nor camera programming. Only sample images and knowledge on how to evaluate them (e.g. "good apples" / "bad apples") are needed. This makes the start into AI-based image processing particularly easy. Camera hardware, software, infrastructure and support come from a single company. For beginners, IDS offer the IDS NXT ocean Creative Kit, which includes all components and workflows to create, train and run a neural net.