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Update README.md
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README.md
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@@ -22,7 +22,7 @@ The collection was done on multiple farms.
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Collected image data of cashew and cocoa crops using a DJI P4 Multispectral Drone
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Collected 4,715 instances of cashew images and 4,069 instances of cocoa images
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Annotation of cashew trees, flowers, immature, mature, ripped and spoilt cashew and cocoa fruits was done over a period of 2 months.
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The Drone-based Agricultural Dataset for Crop Yield Estimation via[HuggingFace](https://huggingface.co/datasets/KaraAgroAI/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation).
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This involved three annotators with supervision from an agricultural scientist.
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Before annotation, an annotation protocol was designed by the agricultural scientist for annotators to follow. The tool used for the annotation was Makesense.ai
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Recorded quantitative measures of progress, including the number of observations and recordings collected. Every important detail relating to the data collection has been recorded and made available.
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Collected image data of cashew and cocoa crops using a DJI P4 Multispectral Drone
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| 23 |
Collected 4,715 instances of cashew images and 4,069 instances of cocoa images
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| 24 |
Annotation of cashew trees, flowers, immature, mature, ripped and spoilt cashew and cocoa fruits was done over a period of 2 months.
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The Drone-based Agricultural Dataset for Crop Yield Estimation via [HuggingFace](https://huggingface.co/datasets/KaraAgroAI/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation).
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This involved three annotators with supervision from an agricultural scientist.
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Before annotation, an annotation protocol was designed by the agricultural scientist for annotators to follow. The tool used for the annotation was Makesense.ai
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| 28 |
Recorded quantitative measures of progress, including the number of observations and recordings collected. Every important detail relating to the data collection has been recorded and made available.
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