Record Details

Crop Monitoring Using Smartphone Based Near-Surface Remote Sensing: Ground Pictures of Wheat and Auxiliary Data from Northern India

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Crop Monitoring Using Smartphone Based Near-Surface Remote Sensing: Ground Pictures of Wheat and Auxiliary Data from Northern India
 
Identifier https://doi.org/10.7910/DVN/DBAFZY
 
Creator International Food Policy Research Institute (IFPRI)
Ghent University
University of Manchester
 
Publisher Harvard Dataverse
 
Description This is a processed dataset of approximately 20,000 near-surface remote sensing images acquired using inexpensive smartphones within the context of a picture-based insurance (PBI) initiative of 1,685 smallholder farmers fields in northwest India. Monitoring crop growth and disturbances is critical in strengthening farmers’ ability to manage production risks. The data presented monitors winter wheat growth and includes meta-data, either manually or automatically derived, to quantify 5 crop greenness, phenology and damage events as well as management practices. Our dataset offers granular visual field data, with processed images and detailed meta-data that provide information on the timing of key developmental phases of winter wheat and crop growth disturbances which are not registered by common satellite remote sensing vegetation indices or national crop cut surveys. The purpose of this high-resolution dataset is to provide a rich source of inputs in supporting of crop modeling and production risk assessment in support of food security in smallholder agricultural systems. We, therefore, foresee that these data will find applications in crop modeling, remote sensing validation and machine learning-based crop assessment.
 
Subject Agricultural Sciences
Social Sciences
remote sensing
insurance
winter wheat
crowd sourcing
picture-based crop insurance
technology
INDIA
SOUTH ASIA
ASIA
 
Language English
 
Date 2017
 
Contributor KM, IFPRI
Kramer, Berber (International Food Policy Research Institute (IFPRI))
Hufkens, Koen (University of Ghent)
Ceballos, Francisco (International Food Policy Research Institute (IFPRI))
Robles, Miguel (International Food Policy Research Institute (IFPRI))
CGIAR Platform for Big Data in Agriculture
CGIAR Research Program on Policies, Institutions, and Markets (PIM)
CGIAR Research Programs on Climate Change and Agricultural Food Security (CCAFS)
International Initiative for Impact Evaluation (3ie)
National Economic
 
Type Image data