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

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dc.creatorInternational Food Policy Research Institute
dc.creatorGhent University
dc.creatorUniversity of Manchester
dc.date2020
dc.date2024-06-04T09:44:15Z
dc.date2024-06-04T09:44:15Z
dc.date.accessioned2026-06-27T15:44:03Z
dc.descriptionThis 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 ?elds 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 ?eld 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 ?nd applications in crop modeling, remote sensing validation and machine learning-based crop assessment.
dc.identifierhttps://hdl.handle.net/10568/144539
dc.identifier.urihttp://hdl.handle.net/123456789/113104
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.relationhttps://doi.org/10.1016/j.agrformet.2018.11.002
dc.rightsOpen Access
dc.sourceInternational Food Policy Research Institute; Ghent University; University of Manchester. 2020. Crop Monitoring Using Smartphone Based Near-Surface Remote Sensing: Ground Pictures of Wheat and Auxiliary Data from Northern India. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/DBAFZY. Harvard Dataverse. Version 1.
dc.subjectinsurance
dc.subjectremote sensing
dc.subjectwinter wheat
dc.subjectmachine learning
dc.titleCrop Monitoring Using Smartphone Based Near-Surface Remote Sensing: Ground Pictures of Wheat and Auxiliary Data from Northern India
dc.typeDataset

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)