Determination of the Relationship between NDVI and Yield by Using Remote Sensing for Silage Corn in Konya Region
Abstract
This study focuses on the yield estimation of silage corn in the province of Konya. This study was carried out in Selcuk University Sarıcalar Research and Application Farm in province of Konya. In this study, normalized difference vegetation index (NDVI) values obtained by using remote sensing tecniques were compared with yield and the availability of estimation of yield by using NDVI was determined. In the Study, approximately 1000 m2 of silage corn planted in the field. The field is divided into plots. Different doses of nitrogen applied to different plots to obtain different yields on different plots. In this way, 5 parcels having different yields were obtained. Aerial images were taken from these plots before the flowering period, during the flowering period and after the flowering period. NDVI values were calculated from these images. Yields of plots were measured in the time of harvest. NDVI values were compared with the yield values. The highest correlation (R2=0.945) were found between the images obtained during the flowering period and yields. It showed that the estimation of the yield is available with image taken during this period.
Details
| Primary Language | English |
|---|---|
| Subjects | Agricultural Engineering |
| Journal Section | Research Article |
| Authors | |
| Publication Date | April 20, 2020 |
| Submission Date | February 28, 2020 |
| Published in Issue | Year 2020 Volume: 34 Issue: 1 |
Selcuk Agricultural and Food Sciences is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY NC).