OS9-2 Prediction of Winter Wheat Growth Trends Based on NDVI Vegetation Index

Title:	OS9-2 Prediction of Winter Wheat Growth Trends Based on NDVI Vegetation Index
Publication:	ICAROB2025
Volume:	30
Pages:	248-252
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2025.OS9-2
Author(s):	Lu Kang, Jiahao Xie, Chunli Li, Haoran Gong, Fengzhi Dai
Publication Date:	February 13, 2025
Keywords:	NDVI, winter wheat, agricultural remote sensing, ENVI, ArcGIS
Abstract:	As modern technology emerged, the level of agricultural remote sensing has been further improved. This paper takes winter wheat as the research object, studying on Liangshan County in Shandong Province, where the planting coverage of winter wheat is high. Image preprocessing is carried out using ArcGIS, combined with ENVI to invoke satellite data in the near-infrared and infrared bands to calculate the NDVI index from the regreening stage to the maturity stage of winter wheat in this area. During the maturity stage of winter wheat, NDRE is used instead of NDVI to solve the problem of inaccurate NDVI measurement in high-density vegetation coverage. The simulation results show that the test data matches the actual winter wheat output value.
PDF File:	https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS9/OS9-2.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/