• Corpus ID: 221397105

DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods

@article{Brandoli2020DropLeafAP,
  title={DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods},
  author={Bruno Brandoli and Gabriel Spadon and Travis Esau and Patrick Hennessy and Andr{\'e} Carlos Ponce de Leon Ferreira de Carvalho and Jos{\'e} F. Rodrigues and Sihem Amer-Yahia},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.00453}
}
Pesticide application has been heavily used in the cultivation of major crops, contributing to the increase of crop production over the past decades. However, their appropriate use and calibration of machines rely upon evaluation methodologies that can precisely estimate how well the pesticides' spraying covered the crops. A few strategies have been proposed in former works, yet their elevated costs and low portability do not permit their wide adoption. This work introduces and experimentally… 

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