Datasets › PSIE
PSIE
Post-Spraying Image Evaluation
This dataset is for the paper Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation (https://arxiv.org/abs/2409.16213).
This dataset is made up of 176 images of trays that contain lettuce, chickweed, and meadowgrass pre- and post-spraying from a spot spraying system.
Related research
| Paper | Conference/Journal |
|---|---|
| An Agricultural Precision Sprayer Deposit Identification System | IEEE International Conference on Automation Science and Engineering (CASE) |
| An Automated Precision Spraying Evaluation System | Towards Autonomous Robotic Systems (TAROS) |
| Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation | Neural Computing and Applications |
Data Location
Data can be found at: https://drive.google.com/drive/folders/1rGmiyL8uGXRGBJucdhIXFLKVt2Ot6cP5?usp=sharing
Authors
Harry Rogers: LinkTree
Tahmina Zebin: Academic Profile
Grzegorz Cielniak: Academic Profile
Beatriz De La Iglesia: Academic Profile
Ben Magri: LinkedIn
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- PSIE
1 variant name, as the archive lists them.
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