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README.md

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-license: cc-by-nc-sa-4.0
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+license: cc-by-nc-sa-4.0
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+<div align='center'>
+<h1>The MiPlo Datasets</h1h1>
+  
+|  [Paper](https://arxiv.org/abs/2409.00903) | [Code](https://github.com/jh-yi/MV-Match) |
+</div>
+
+The Mini Plot (MiPlo) datasets are large-scale RGB image datasets consisting of high-resolution images with multiple types of nutrient treatments 
+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. 
+
+**Experimental Setup**
+
+The MiPlot experiments enable controlled trials of nutrient deficiencies under simulated field conditions. 
+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) 
+and sown in rows in a density according to agricultural practice. 
+The soil was a mixture of nutrient-poor loess from a 5 meter depth of an opencast pit mine and quartz sand 0.5 – 1 mm. 
+To expose the plants to environmental factors, e.g., wind, radiation, and precipitation, the containers were positioned in an outdoor area 
+and equipped with a fertigation system of porous drip pipes to allow additional water supply and individual fertilization with nutrient solutions per container.  
+To transfer soil microorganisms to the experiments, the containers were inoculated with soil slurry from the non-fertilized plot of a long-term fertilizer-field experiment. 
+For each genotype, the containers were placed in three rows of ten containers each on a leveled concrete platform. 
+The 30 containers were divided into seven treatments (ctrl, -N, -P, -K, -B, -S, unfertilized) with four replicates each, 
+as well as two additional containers for invasive investigations, in a randomized block design. 
+In this repository, 24 containers with six nutrient treatments (ctrl, -N, -P, -K, -B, -S) were selected for evaluation, 
+because the containers with unfertilized treatment showed distinct patterns, i.e., only pipes.
+
+**Image Acquisition Protocol**
+
+The RGB images in the MiPlo datasets were taken from 24 containers, each of which was subjected to a type of nutrient treatment. 
+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. 
+Specifically, the images were taken under different conditions in terms of height, viewpoint, light, and weather to reflect realistic conditions. As a result, 
+crops within each container have been captured over the growing season multiple times and each time from multiple views (20 views on average). 
+Example images are shown in Figure \ref{fig:example}. 
+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. 
+
+| Dataset | #Images (k) | #Class | Dates | #Views | Year |
+
+\textbf{MiPlo-B.} 
+%MiPlo V2 (Barley) 20 views / pot
+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. 
+
+\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.