Data from: Unmanned aerial vehicles for high-throughput phenotyping and agronomic research

Shi Y, Thomasson JA, Murray SC, Pugh NA, Rooney WL, Shafian S, Rajan N, Rouze G, Morgan CLS, Neely HL, Rana A, Bagavathiannan MV, Henrichson J, Bowden E, Valasek J, Olsenholler J, Bishop MP, Sheridan R, Putman EB, Popescu S, Burks T, Cope D, Ibrahim A, McCutchen BF, Baltensperger DD, Avant Jr RV, Vidrine M, Yang C

Date Published: August 16, 2016

DOI: http://dx.doi.org/10.5061/dryad.65m87

 

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Title Case_Study_1_plant_height_Corn
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Description Raw data sample and ground truth data for corn plant height estimate in case study 1.
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Title Case_Study_1_plant_height_Sorghum
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Description Raw individual images with gps log and ground truth data for the sorghum plant height estimate in case study 1.
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Title Case_Study_2_winter_wheat_biophysical
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Description Raw individual images with gps log and ground truth data for case study 2 winter wheat biophysical properties study.
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Title Case_Study_3_soil_plant_interaction_RGB
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Description Raw RGB images with gps log and ground truth data for case study 3 soil and plants interaction. The RGB and NIR images were split as two files due to the file size limit.
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Title Case_Study_3_soil_plant_interaction_NIR
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Description Raw NIR images with gps log and ground truth data for case study 3 soil and plants interaction. The RGB and NIR images were split as two files due to the file size limit.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_1_of_10
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Description Part 1 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_2_of_10
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Description Part 2 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_3_of_10
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Description Part 3 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_4_of_10
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Description Part 4 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_5_of_10
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Description Part 5 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_6_of_10
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Description Part 6 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_7_of_10
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Description Part 7 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_8_of_10
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Description Part 8 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_9_of_10
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Description Part 9 of 10 of raw individual images with gps log and ground truth. GPS log and ground truth are in part 10.
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Title Case_Study_4_weed_management_evaluation_Raw_Image_Data_10_of_10_GroundTruth
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Description Part 10 of 10 of raw individual images with gps log and ground truth.
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_1_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_2_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_3_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_4_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_5_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_6_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_7_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_8_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_9_of_10
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Title Case_Study_1_plant_height_corn_Raw_Image_Data_10_of_10_and_GCPs
Downloaded 12 times
Description Raw individual images with gps log and shapefile of ground control points of case study 1 corn plant height measurement. The raw images are separated into ten files.
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When using this data, please cite the original publication:

Shi Y, Thomasson JA, Murray SC, Pugh NA, Rooney WL, Shafian S, Rajan N, Rouze G, Morgan CLS, Neely HL, Rana A, Bagavathiannan MV, Henrickson J, Bowden E, Valasek J, Olsenholler J, Bishop MP, Sheridan R, Putman EB, Popescu S, Burks T, Cope D, Ibrahim A, McCutchen BF, Baltensperger DD, Avant RV, Vidrine M, Yang C (2016) Unmanned aerial vehicles for high-throughput phenotyping and agronomic research. PLOS ONE 11(7): e0159781. http://dx.doi.org/10.1371/journal.pone.0159781

Additionally, please cite the Dryad data package:

Shi Y, Thomasson JA, Murray SC, Pugh NA, Rooney WL, Shafian S, Rajan N, Rouze G, Morgan CLS, Neely HL, Rana A, Bagavathiannan MV, Henrichson J, Bowden E, Valasek J, Olsenholler J, Bishop MP, Sheridan R, Putman EB, Popescu S, Burks T, Cope D, Ibrahim A, McCutchen BF, Baltensperger DD, Avant Jr RV, Vidrine M, Yang C (2016) Data from: Unmanned aerial vehicles for high-throughput phenotyping and agronomic research. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.65m87
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