This repository is for the paper Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation (https://arxiv.org/abs/2409.16213).
This repository contains the dataset curated. 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.
| 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 can be found at: https://drive.google.com/drive/folders/1rGmiyL8uGXRGBJucdhIXFLKVt2Ot6cP5?usp=sharing
├── PSIE
├── annotations
│ ├── PSIE_train.json
│ ├── PSIE_test.json
├── train
│ ├── *.JPG 160 images
│
├── test
│ ├── *.JPG 16 images
Harry Rogers: LinkTree
Tahmina Zebin: Academic Profile
Grzegorz Cielniak: Academic Profile
Beatriz De La Iglesia: Academic Profile
Ben Magri: LinkedIn