Elsevier

Agricultural and Forest Meteorology

Volume 265, 15 February 2019, Pages 327-337
Agricultural and Forest Meteorology

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

https://doi.org/10.1016/j.agrformet.2018.11.002Get rights and content
Under a Creative Commons license
open access

Highlights

  • Smartphone repeat imagery quantifies important phenological stages of winter wheat.

  • Small scale phenology or disturbances are not captured by satellite remote sensing.

  • Using smartphone imagery can improve crop modeling and insurance for small farmers.

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.

Keywords

Crowdsourcing
Remote sensing
Winter wheat
Insurance
India

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