In-field images and respective binary masks of Sorghum Panicles, Wheat Spikes and Corn Ears

Gustavo Santiago; Caetano Rocha; Diogo Moraes Verzegnazzi; Pedro Cisdeli; Mohsen Mohammadi; Mitchell R. Tuinstra; Ignacio Antonio Ciampitti

doi:10.5281/zenodo.18474785

In-field images and respective binary masks of Sorghum Panicles, Wheat Spikes and Corn Ears

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Gustavo Santiago, Caetano Rocha, Diogo Moraes Verzegnazzi, Pedro Cisdeli, Mohsen Mohammadi, Mitchell R. Tuinstra, Ignacio Antonio Ciampitti

DOI: 10.5281/zenodo.18474785

Cited by: 0

Abstract

This dataset contains single-view RGB images of maize ears, sorghum panicles, and wheat spikes collected in the field using a smartphone camera for phenotyping and sensing research. The masks were generated using SAM2 and manually corrected in Roboflow. The corn ear dataset is derived from the Maize Ear Single-View Image Dataset (Subset) by Cisdeli et al., 2026, Zenodo DOI: 10.5281/zenodo.18474643 The images and masks are named as collectionDate_genotypeGroup_Individual

Fields of Study & Subjects

Smart Agriculture and AI Advanced Neural Network Applications Remote Sensing in Agriculture

Publication details

Journal / source: Zenodo (CERN European Organization for Nuclear Research)
Publication date: 3 February 2026