Using Data Mining Techniques To Forecast The Normalized Difference Vegetation Index (Ndvi) In Table Grape

ICORES: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS(2019)

引用 2|浏览3
暂无评分
摘要
The Normalized Difference Vegetation Index (NDVI) is a simple indicator that quantifies aerial biomass in fruit crops, which is correlated with the fruit yield and quality produced by an orchard. Therefore, knowing the NDVI values would allow predicting productive parameters above mentioned, which in turn would help planning operational activities such as harvesting. In this study, we estimated the NDVI of a Chilean table grape orchard based on past data using data mining techniques. For this purpose, we developed a three-step method, obtaining NDVI predictions with high accuracy.
更多
查看译文
关键词
NDVI, Data Mining Techniques, Neural Networks, Fruit Crop Variability
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要