Dataset for: Estimation of late blight severity using multispectral images on advance clones population of potato, Oxapampa 2019.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data set is the result to process and analyses NDVI images acquired of late blight experiments. Through multiple correlations, a NDVI value was found and set as a threshold or the borderline between leaves healthy or infected with late blight. Then, it was computed the number of pixels by each category, which keep correlation with the visual late blight evaluation performed by experts in the field' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Canopy cover","Multispectral images","NDVI","Potatoes"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data set is the result to process and analyses NDVI images acquired of late blight experiments. Through multiple correlations, a NDVI value was found and set as a threshold or the borderline between leaves healthy or infected with late blight. Then, it was computed the number of pixels by each category, which keep correlation with the visual late blight evaluation performed by experts in the field' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data set is the result to process and analyses NDVI images acquired of late blight experiments. Through multiple correlations, a NDVI value was found and set as a threshold or the borderline between leaves healthy or infected with late blight. Then, it was computed the number of pixels by each category, which keep correlation with the visual late blight evaluation performed by experts in the field
Canopy cover; Multispectral images; NDVI; Potatoes