Monitoring crop phenology using a smartphone based near-surface remote sensing approach

Koen Hufkens, Eli K. Melaas, Michael L. Mann, Timothy Foster, Francisco Ceballos, Miguel Robles, Berber Kramer

Research output: Contribution to journalArticle in a journalpeer-review

27 Scopus citations

Abstract

Smallholder farmers play a critical role in supporting food security in developing countries. Monitoring crop phenology and disturbances to crop growth is critical in strengthening farmers’ ability to manage production risks. This study assesses the feasibility of using crowdsourced near-surface remote sensing imagery to monitor winter wheat phenology and identify damage events in northwest India. In particular, we demonstrate how streams of pictures of individual smallholder fields, taken using inexpensive smartphones, can be used to quantify important phenological stages in agricultural crops, specifically the wheat heading phase and how it can be used to detect lodging events, a major cause of crop damage globally. Near-surface remote sensing offers granular visual field data, providing detailed information on the timing of key developmental phases of winter wheat and crop growth disturbances that are not registered by common satellite remote sensing vegetation indices or national crop cut surveys. This illustrates the potential of near-surface remote sensing as a scalable platform for collecting high-resolution plot-specific data that can be used in supporting crop modeling, extension and insurance schemes to increase resilience to production risk and enhance food security in smallholder agricultural systems.

Original languageEnglish
Pages (from-to)327-337
Number of pages11
JournalAgricultural and Forest Meteorology
Volume265
DOIs
StatePublished - 15 Feb 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Authors

Keywords

  • Crowdsourcing
  • India
  • Insurance
  • Remote sensing
  • Winter wheat

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