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Pesticide application has been heavily used in the cultivation of majorcrops, contributing to the increase of crop production over the past decades.However, their appropriate use and calibration of machines rely upon evaluationmethodologies that can precisely estimate how well the pesticides' sprayingcovered the crops. A few strategies have been proposed in former works, yettheir elevated costs and low portability do not permit their wide adoption.This work introduces and experimentally assesses a novel tool that functionsover a smartphone-based mobile application, named DropLeaf - Spraying Meter.Tests performed using DropLeaf demonstrated that, notwithstanding itsversatility, it can estimate the pesticide spraying with high precision. Ourmethodology is based on image analysis, and the assessment of sprayingdeposition measures is performed successfully over real and syntheticwater-sensitive papers. The proposed tool can be extensively used by farmersand agronomists furnished with regular smartphones, improving the utilizationof pesticides with well-being, ecological, and monetary advantages. DropLeafcan be easily used for spray drift assessment of different methods, includingemerging UAV (Unmanned Aerial Vehicle) sprayers.

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