Predicting Nutrient Content, Plant Health, and Site Suitability:
نام عام مواد
[Thesis]
نام نخستين پديدآور
Flynn, K. Colton
عنوان اصلي به قلم نويسنده ديگر
A Case Study of Eragrostis tef
نام ساير پديدآوران
Frazier, Amy E.
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Oklahoma State University
تاریخ نشرو بخش و غیره
2019
مشخصات ظاهری
نام خاص و کميت اثر
149
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
کسي که مدرک را اعطا کرده
Oklahoma State University
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Advancements in agricultural and geographic principals have led to worldwide food and agricultural globalization. Because agricultural production continues to further in global interconnectedness, confirmed precision agriculture (PA) methods are required to monitor crops in-field. PA utilizes a remote sensing method referred to as imaging spectroscopy (IS). IS is often performed using a field spectroradiometer that identifies reflectance values. The reflectance values obtained have been utilized in agricultural studies to correlate spectral reflectance to biochemical and biophysical properties. However, while there is a large body of research focusing on IS predicting these agricultural characteristics, many studies have only employed the research in a single region/location resulting in findings that may lacking reproducibility and replication (R&R) for more than a single environment. The lack of regionally comparative IS methods for nutrient and plant health analysis is important as varying geographies may prove to have an effect on IS findings. Therefore, the proposed research utilizes IS methods to predict nutrient and plant health values utilizing tef (Eragrostis tef) as a case study as its cultivated in Ethiopia and the United States. Currently, in the United States, the cultivation of tef is limited thus the United States could benefit from an exploration of site suitability analysis to aid expansion of tef cultivation in the U.S. It is through this interdisciplinary study that potential improvement to geography and remote sensing theory/methods can be obtained to achieve goals within food/agriculture geography.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Agriculture
موضوع مستند نشده
Remote sensing
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )