Longitudinal Nutrient Deficiency

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/intelinair_longitudinal_nutrient_deficiency-dataset")

fs.listdir("s3://intelinair-data-releases/longitudinal-nutrient-deficiency")

Description:

Dataset associated with the 2021 AAAI Paper- Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. The dataset contains 3 image sequences of aerial imagery from 386 farm parcels which have been annotated for nutrient deficiency stress.

Contact:

Dataset associated with the 2021 AAAI Paper- Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. The dataset contains 3 image sequences of aerial imagery from 386 farm parcels which have been annotated for nutrient deficiency stress.

Update Frequency:

Periodically

Managed By:

Intelinair, Inc.

Resources:

1. resource:
   • Description: Folder contains the terms of use, paper, and zip file of data.
   • ARN: arn:aws:s3:::intelinair-data-releases/longitudinal-nutrient-deficiency
   • Region: us-east-1
   • Type: S3 Bucket
   • RequesterPays: False

Tags:

aerial imagery, agriculture, sustainability, computer vision, deep learning, machine learning

Publication:

1. publication:
   • Title: Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery
   • URL: https://arxiv.org/abs/2012.09654
   • AuthorName: Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs