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Enrico Pallotta

2 papers indexed

arxivcs.CV2026-07-22

Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data

Enrico Pallotta, Mohamed Farag, Esra Guclu, Chris McCool, Ribana Roscher, Juergen Gall

Accurate yield forecasting at the individual-plant level is critical for precision agriculture and supply-chain planning, yet public datasets capturing both visual growth dynamics and per-plant measurement labels are scarce. In this paper, we introduce a novel, annotated image ti…

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arxivcs.CV2026-07-16

Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels

Michael Halstead, Esra Guclu, Mohamed Farag, Enrico Pallotta, Christian Hund, Ribana Roscher, et al.

In this manuscript we release two datasets for visual sensing of tomato plants grown in commercial-like settings and acquired using a robot. The first is BUTom21 which consists of still images and manual annotations. The second is BUTom-ST21 which consists of video-based data and…

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