flowers | Ag Data Commons

Data from: Apple flower detection using deep convolutional networks

With the goal of automating bloom intensity estimation, a method a novel method for apple flower detection is presented in which a pre-trained convolutional neural network (CNN) is fine-tuned to become specially sensitive to flowers.

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Data from: Patterns of Widespread Decline in North American Bumble Bees

This data was used in the paper "Patterns of widespread decline in North American bumble bees" published in the Proceedings of the National Academy of United States of America.

Data from: Multi-species fruit flower detection using a refined semantic segmentation network

This dataset consists of four sets of flower images, from three different fruit tree species: apple, peach, and pear, and accompanying ground truth images. This data is provided to support a paper as well as to provide labeled data to the community for the development of new algorithms and models for object detection.

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IPM Images: The Source for Agriculture and Pest Management Pictures

A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources and College of Agricultural and Environmental Sciences, The Center for Invasive Species and Ecosystem Health, USDA National Institute of Food and Agriculture, Southern Integrated Pest Management Center, Southern Plant Diagnostic Network, and USDA/APHIS Identification Technology Program, [IPM Images](https://www.ipmimages.org/) image categories include: Commodity Groups; Taxonomy; Biological Controls; Damage Types; and Diseases.

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Video data of flowers, fruitlets, and fruit in apple trees during the 2017 growing season at USDA-ARS-AFRS

This record contains videos of apple trees acquired from a ground vehicle throughout the growing season. Research in precision management methods in orchard crops revolve around locating objects of interest, namely flowers, fruitlets, and fruit, autonomously. This dataset is provided so that researchers without access to research plots or mature trees can experiment with the data acquired during the course of an ongoing project on apple flower estimation in images. The trees shown in these videos have a mixture of colors and growth habits. In particular, the four varieties represent one of each of the Lespinasse ideotypes.

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Ag Data Commons migration begins October 18, 2023

Data from: Apple flower detection using deep convolutional networks

Data from: Patterns of Widespread Decline in North American Bumble Bees

Data from: Multi-species fruit flower detection using a refined semantic segmentation network

IPM Images: The Source for Agriculture and Pest Management Pictures

Video data of flowers, fruitlets, and fruit in apple trees during the 2017 growing season at USDA-ARS-AFRS