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A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network applicationNARA Subscribed
Fruit size is crucial for growers as it influences consumer willingness to buy and the price of the fruit. Fruit size and growth along the seasons are two parameters that can lead to more precise orchard management favoring production sustainability. In this study, a Python-based computer vision system (CVS) for sizing apples directly on the tree was developed to ease fruit sizing tasks. The system is made of a consumer-grade...
Cross‐scale integration of knowledge for predicting species ranges: a metamodelling frameworkNARA Subscribed
Aim Current interest in forecasting changes to species ranges has resulted in a multitude of approaches to species distribution models ( SDMs ). However, most approaches include only a small subset of the available information, and many ignore smaller‐scale processes such as growth, fecundity and dispersal. Furthermore, different approaches often produce divergent predictions with no simple method to reconcile them. Here, we p...
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