Related Experiment Video
Updated: May 26, 2026
07:12
High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot
Published on: January 9, 2026
Dataset for autonomous agriculture using robots to inspect corn and beet
Sergio Sánchez de la Fuente1, Luis Prieto-López1, Francisco J Rodriguez-Lera1
1Department of Mechanical, Computer Science and Aerospace Engineering, Universidad de León, Campus Vegazana, s/n, 24007 León, Spain.
Data in Brief
|May 25, 2026
Summary
A new dataset of over 10,000 images from mobile robot field monitoring supports precision agriculture. This data aids in developing intelligent systems for autonomous crop inspection and health assessment.
Area of Science:
- Agricultural Engineering
- Computer Vision
- Robotics
Background:
- Precision agriculture aims to enhance crop yield and sustainability through technology.
- Continuous field monitoring is challenging due to labor and environmental variability.
- Mobile robots with intelligent perception offer autonomous data collection for agriculture.
Purpose of the Study:
- To introduce a comprehensive dataset for crop monitoring using mobile robots.
- To support the development of intelligent systems for autonomous agricultural inspection.
- To facilitate research in precision agriculture and plant health assessment.
Main Methods:
- A ground mobile robot (Summit XL) equipped with an Intel RealSense D455 camera captured images in corn and beet fields.
- Data collection involved teleoperation and recording rosbags with RGB images under natural daylight.
- The dataset includes 10,080 images in YOLO format, with annotations for beet and corn, and augmented versions.
Main Results:
- A dataset of 10,080 annotated RGB images for crop monitoring was created.
- Images are organized in YOLO format, suitable for object detection tasks like plant detection.
- The dataset features augmented images and privacy-preserving anonymization.
Conclusions:
- The presented dataset is a valuable resource for advancing precision agriculture research.
- It enables the development of robust intelligent systems for autonomous crop monitoring.
- Public availability via Hugging Face promotes wider research and application in agriculture.
Related Concept Videos
02:16Light Acquisition
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
02:35Key Elements for Plant Nutrition
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the atmosphere, the...