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