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  </div>
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  The Mini Plot (MiPlo) datasets are large-scale RGB image datasets consisting of high-resolution images with multiple types of nutrient treatments
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- annotated by agronomy experts. It consists of the Mini Plot Barley (MiPlo-B) dataset and the newly collected Mini Plot Winter Wheat (MiPlo-WW) dataset.
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- **Experimental Setup**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The MiPlot experiments enable controlled trials of nutrient deficiencies under simulated field conditions.
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  The crops (two genotypes) were grown in mineral soil in containers (“Big Box”, L x B x H: 111 x 71 x 61 cm, vol.: 535L)
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  In this repository, 24 containers with six nutrient treatments (ctrl, -N, -P, -K, -B, -S) were selected for evaluation,
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  because the containers with unfertilized treatment showed distinct patterns, i.e., only pipes.
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- **Image Acquisition Protocol**
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  The RGB images in the MiPlo datasets were taken from 24 containers, each of which was subjected to a type of nutrient treatment.
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  All of the images with the size of 7296 x 5472 were captured by a Huawei P20 Pro smartphone with a triple camera from Leica under natural lighting conditions.
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  Specifically, the images were taken under different conditions in terms of height, viewpoint, light, and weather to reflect realistic conditions. As a result,
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  crops within each container have been captured over the growing season multiple times and each time from multiple views (20 views on average).
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- Example images are shown in Figure \ref{fig:example}.
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- The images were annotated by the date, genotype, and six nutrient treatments (ctrl, -N, -P, -K, -S, -B), where ``-'' stands for the omission of the corresponding nutrient (N: nitrogen, P: phosphorous, K: potassium, B: Boron, S:Sulfur). Plants in the control group `ctrl' do not suffer from nutrient deficiencies.
 
 
 
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- | Dataset | #Images (k) | #Class | Dates | #Views | Year |
 
 
 
 
 
 
 
 
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- \textbf{MiPlo-B.}
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- %MiPlo V2 (Barley) 20 views / pot
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- The Mini Plot Barley (MiPlo-B) dataset consists of 18559 images with 6 nutrient treatments (-N, -P, -K, -B, -S, ctrl) annotated, ranging from 21.06.2022 - 20.07.2022 (16 dates). It contains two genotypes: Barke (9305 images) and Hanna (9254 images). For each genotype, each treatment was repeated 4 times, resulting in 24 containers, each of which has a unique ID. Six unique containers with six different nutrient treatments were selected as the test set while the other containers as the training set (\#train:\#test$\approx$75\%:25\%), trying to avoid information leaks due to commonly adopted random sampling, i.e., multi-views of the same crop being separated into both training and test set.
 
 
 
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- \textbf{MiPlo-WW.} The Mini Plot Winter Wheat (MiPlo-WW) dataset has 12466 images with 6 treatments (-N, -P, -K, -B, -S, ctrl) annotated, ranging from 12.05.2023 - 24.05.2023 (13 dates). It contains two genotypes: Julius (6253 images) and Meister (6213 images). The ID settings are the same as above.
 
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  </div>
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  The Mini Plot (MiPlo) datasets are large-scale RGB image datasets consisting of high-resolution images with multiple types of nutrient treatments
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+ annotated by agronomy experts. It consists of the Mini Plot Barley (MiPlo-B) dataset and the Mini Plot Winter Wheat (MiPlo-WW) dataset.
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+
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+ ## Statistics
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+
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+
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+ | Dataset | #Images | #Class | Dates | #Views | Year |
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+ | ------- | ----------- | ------ | ----- | ------ | ---- |
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+ | MiPlo-B (Barley) | 18559 | 6 | 16 | 20 | 2022 |
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+ | MiPlo-WW (Winter Wheat) | 12466 | 6 | 13 | 20 | 2023 |
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+
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+
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+ **The Mini Plot Barley (MiPlo-B) dataset** consists of 18559 images with 6 nutrient treatments (-N, -P, -K, -B, -S, ctrl) annotated,
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+ ranging from 21.06.2022 - 20.07.2022 (16 dates). It contains two genotypes: Barke (9305 images) and Hanna (9254 images).
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+ For each genotype, each treatment was repeated 4 times, resulting in 24 containers, each of which has a unique ID.
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+ Six unique containers with six different nutrient treatments were selected as the test set while the other containers as the training set (#train:#test$\approx$75%:25%).
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+ **The Mini Plot Winter Wheat (MiPlo-WW) dataset** has 12466 images with 6 treatments (-N, -P, -K, -B, -S, ctrl) annotated,
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+ ranging from 12.05.2023 - 24.05.2023 (13 dates). It contains two genotypes: Julius (6253 images) and Meister (6213 images).
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+ The ID settings are the same as above.
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+
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+ ## Experimental Setup
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  The MiPlot experiments enable controlled trials of nutrient deficiencies under simulated field conditions.
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  The crops (two genotypes) were grown in mineral soil in containers (“Big Box”, L x B x H: 111 x 71 x 61 cm, vol.: 535L)
 
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  In this repository, 24 containers with six nutrient treatments (ctrl, -N, -P, -K, -B, -S) were selected for evaluation,
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  because the containers with unfertilized treatment showed distinct patterns, i.e., only pipes.
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+ ## Image Acquisition Protocol
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  The RGB images in the MiPlo datasets were taken from 24 containers, each of which was subjected to a type of nutrient treatment.
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  All of the images with the size of 7296 x 5472 were captured by a Huawei P20 Pro smartphone with a triple camera from Leica under natural lighting conditions.
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  Specifically, the images were taken under different conditions in terms of height, viewpoint, light, and weather to reflect realistic conditions. As a result,
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  crops within each container have been captured over the growing season multiple times and each time from multiple views (20 views on average).
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+ The images were annotated by the date, genotype, and six nutrient treatments (ctrl, -N, -P, -K, -S, -B),
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+ where ``-'' stands for the omission of the corresponding nutrient (N: nitrogen, P: phosphorous, K: potassium, B: Boron, S:Sulfur).
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+ Plants in the control group `ctrl' do not suffer from nutrient deficiencies.
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+
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+ ## ✏️ Citation
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+ If the MiPlo datasets are helpful for your research, please consider giving a star ⭐ and citation 📝.
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+ ```
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+ @inproceedings{yi2024mvmatch,
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+ title={MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies},
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+ author={Yi, Jinhui and Luo, Yanan and Deichmann, Marion and Schaaf, Gabriel and Gall, Juergen},
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+ booktitle={BMVC},
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+ year={2024}
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+ }
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+ ```
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+ <p align="center">
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+ <img src="https://raw.githubusercontent.com/image-hosting/img2/main/img/202501081059081.png" alt="drawing" width="500"/>
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+ </p>
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+ <p align="center">
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+ <img src="https://raw.githubusercontent.com/image-hosting/img2/main/img/202501081101302.png" alt="drawing" width="500"/>
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+ </p>
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