PSIE

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# 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