TY - JOUR
T1 - Monitoring crop phenology using a smartphone based near-surface remote sensing approach
AU - Hufkens, Koen
AU - Melaas, Eli K.
AU - Mann, Michael L.
AU - Foster, Timothy
AU - Ceballos, Francisco
AU - Robles, Miguel
AU - Kramer, Berber
N1 - Publisher Copyright:
© 2018 The Authors
PY - 2019/2/15
Y1 - 2019/2/15
N2 - 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.
AB - 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.
KW - Crowdsourcing
KW - India
KW - Insurance
KW - Remote sensing
KW - Winter wheat
KW - Crowdsourcing
KW - India
KW - Insurance
KW - Remote sensing
KW - Winter wheat
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U2 - 10.1016/j.agrformet.2018.11.002
DO - 10.1016/j.agrformet.2018.11.002
M3 - Article in a journal
SN - 0168-1923
VL - 265
SP - 327
EP - 337
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
ER -