Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery
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The Ohio State University / OhioLINK
2015
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu14376667412021-08-03T06:32:20Z Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery Wolters, Dustin Joseph Agricultural Engineering aerial photography algorithms image processing remote sensing corn agriculture As the application of remote sensing within the agricultural community continues to increase, the amount of data and management information acquired from layered sensing approaches does as well. This information source provides producers the ability to make important management decisions in a timely fashion. Crop emergence and health are at the forefront of many of these management decisions early in the growing season. This study investigates the development and application of an image processing and classification algorithm (image processing tool) to accurately detect, asses, and quantify corn plant population rates at emergence from high resolution and high quality remote sensed imagery. Validation and testing of the image processing tool using ground-truthed stand count data was completed for six test plots (from three aerial images) acquired from a production corn field, to demonstrate the accuracy and robustness of the tool for real-world applications. The algorithm provided an average R2 value of 0.44 and RMSE value of 47.66% per row, over the six test plots when compared against ground-truthed data for identification of emerging corn plants, using 3.3 cm spatial resolution aerial images. But, after taking into account the physically undetectable corn plants in each section, resulting from the early growth stage and low image resolution, the average R2 value improved to 0.90 with an average RMSE of 21.18%. The algorithm also improved to an accuracy of 96% when a much higher quality aerial image with higher spatial resolution, 0.53 mm, was analyzed, indicating even better algorithm performance when the proper quality and spatial resolution to distinguish corn plants within an image is available.The classification model also created the first ever quantified spatial visualization of plant population, extracted from remote sensed imagery, via an emergence map. The emergence map covered the entire area of the subject image and allowed for a spatial representation of corn population estimates at emergence, up through the intra-row scale, to support early season crop management decisions. Model validation results and emergence map creation provided supporting evidence of the algorithm’s robustness and ability to detect, asses, and quantify corn plant population rates at emergence extracted from high quality and high resolution remote sensed imagery. 2015-09-18 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741 http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Agricultural Engineering aerial photography algorithms image processing remote sensing corn agriculture |
| spellingShingle |
Agricultural Engineering aerial photography algorithms image processing remote sensing corn agriculture Wolters, Dustin Joseph Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery |
| author |
Wolters, Dustin Joseph |
| author_facet |
Wolters, Dustin Joseph |
| author_sort |
Wolters, Dustin Joseph |
| title |
Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery |
| title_short |
Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery |
| title_full |
Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery |
| title_fullStr |
Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery |
| title_full_unstemmed |
Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery |
| title_sort |
assessment of corn plant population at emergence from processed color aerial imagery |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2015 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741 |
| work_keys_str_mv |
AT woltersdustinjoseph assessmentofcornplantpopulationatemergencefromprocessedcoloraerialimagery |
| _version_ |
1719438732388466688 |