GroMo25: Multiview Time Series Plant Image Dataset for Age Estimation and Leaf Counting Dataset Summary GroMo25 is a multiview, time series plant image dataset designed for plant age estimation (in days) and leaf counting tasks in precision agriculture. It contains high quality images of four crop species — Wheat, Okra, Radish, and Mustard — captured over multiple days under controlled conditions. Each plant is photographed from 24 angles across 5 vertical levels per day, providing rich spatial and temporal information for plant growth modeling. This dataset is intended for researchers and practitioners in academic research, plant phenotyping, and agriculture , and serves as the official dataset for the GroMo Challenge . Paper: GroMo Challenge: Multiview time series plant image dataset for age estimation and leaf counting in precision agriculture Dataset Structure Crops Included Crop Description Wheat Cereal crop, multiple growth stages Okra Vegetable crop, leaf heavy growth Radish Root vegetable, rapid growth cycle Mustard Oilseed crop, distinct leaf pattern Image Capture Setup All images were captured in a controlled indoor environment : Each plant is grown in a pot placed on a r…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy