Use of drones in herbicide spot spraying: a systematic review

Nobre, Felipe Luiz de Lemos; Santos, Reginaldo Ferreira; Herrera, Juan López; Araújo, Ana Luiza de; Johann, Jerry Adriani; Gurgacz, Flavio; Siqueira, Jair Antonio Cruz; Prior, Maritane

doi:10.51694/AdvWeedSci/2023;41:00028

person Felipe Luiz de Lemos Nobre

conceived · designed the work and participated in the selection of articles · All authors critically reviewed the manuscript and approved the final version

school Postgraduate Program in Energy Engineering in Agriculture (PPGEA), State University of Western Paraná (Unioeste), Cascavel, PR, Brazil.

0000-0002-0613-3950

person Reginaldo Ferreira Santos

were dedicated to oversight and coordination · All authors critically reviewed the manuscript and approved the final version

school Postgraduate Program in Energy Engineering in Agriculture (PPGEA), State University of Western Paraná (Unioeste), Cascavel, PR, Brazil.

0000-0002-7745-9173

person Juan López Herrera

were dedicated to oversight and coordination · All authors critically reviewed the manuscript and approved the final version

school Universidad Politécnica de Madrid, Madri, Spain.

0000-0002-4818-2072

person Ana Luiza de Araújo

was dedicated to the research and selection of articles · All authors critically reviewed the manuscript and approved the final version

school Agricultural Engineering Graduate, State University of West Paraná (Unioeste), Cascavel, PR, Brazil.

0000-0003-3925-4457

person Jerry Adriani Johann

were dedicated to review and final adjustments · All authors critically reviewed the manuscript and approved the final version

school Agricultural Engineering Graduate, State University of West Paraná (Unioeste), Cascavel, PR, Brazil.

0000-0001-6184-8011

person Flavio Gurgacz

were dedicated to review and final adjustments · All authors critically reviewed the manuscript and approved the final version

school Postgraduate Program in Energy Engineering in Agriculture (PPGEA), State University of Western Paraná (Unioeste), Cascavel, PR, Brazil.

0000-0002-4001-7072

person Jair Antonio Cruz Siqueira

were dedicated to review and final adjustments · All authors critically reviewed the manuscript and approved the final version

school Postgraduate Program in Energy Engineering in Agriculture (PPGEA), State University of Western Paraná (Unioeste), Cascavel, PR, Brazil.

0000-0002-8140-444X

person Maritane Prior

were dedicated to review and final adjustments · All authors critically reviewed the manuscript and approved the final version

school Postgraduate Program in Energy Engineering in Agriculture (PPGEA), State University of Western Paraná (Unioeste), Cascavel, PR, Brazil.

0000-0002-3232-1533

person* Corresponding author: <
emailmaritane.prior@unioeste.br>

Approved by:

Editor in Chief: Carlos Eduardo Schaedler

Associate Editor: Leonardo Bianco de Carvalho

Conflict of Interest: The authors declare that there is no conflict of interest regarding the publication of this manuscript.

Phases	Description
1	Definition of the theme and guiding question of the study (PICo)
2	Definition of selection criteria (inclusion and exclusion of articles)
3	Selection of databases and descriptors to access the literature
4	Data collect
5	Analysis of results

Acronym	Definition	Descriptor (s)
P	Problem	English: Weed Portuguese: Plantas daninhas
I	Interest	English: Drone; Remotely Piloted Aircraft System; Unmanned Aerial Vehicle Portuguese: Drone; Aeronave pilotada remotamente; Veículo Aéreo Não-tripulado
co	Context	English: Precision spray Portuguese: Pulverização localizada; Pulverização de precisão

Tecnhology used	Impacts	Crop	Effect	Economic/ Environmental	Type	Year	Authors
Drone used in herbicide spot spraying
Precision spray equipment and consumer-grade UAV technology		NA	positive	both	article	2020	Jensen et al.
RBG imaging to creat orthomosaic and further spray map		NA			article	.	.
Ground truthing system compared to whole paddock spraying	Provides a pragmatic and inexpensive spray system that can be used with contemporary precision spray systems.	NA	positive	economic	article	.	.
Drone used in crop monitoring/imaging
Advanced sensors and imaging technology	Optimize processes and reduce costs.	cotton	positive	economic	tesis	2018	Silva A.
.	Provides valuable data for precision agriculture.	cotton	positive	economic	tesis	.	.
.	Helps to identify areas of concern such as pest infestations or nutrient deficiencies.	cotton	positive	both	tesis	.	.
.	Improves operational efficiency by reducing the time and labor required for tasks such as crop scouting, mapping, and monitoring.	cotton	positive	economic	tesis	.	.
.	Contributes to sustainable production practices by minimizing environmental impact through precise application of inputs and waste reduction.	cotton	positive	environmental	tesis	.	.
Real-time object detection algorithms (Faster R-CNN and YOLOv3)	Deep learning algorithms in an embedded system can provide a more efficient and selective approach to weed control in agricultural settings.	rope and viola in cotton and soybean crops	positive	economic	article	2022	Saboia et al.
Deep learning method based on RGB imagery taken by a unmanned aerial vehicle	The system achieves an average accuracy of 95.3% in identifying weeds and an overall average accuracy of 94.73% for both crops and weeds.	peas and strawberries	positive	economic	article	2021	Kahn
Low-cost UAV (Parrot Anafi) with RGB	Reduces costs and accelerate the development of free tools for smart agriculture worldwide.	Corn	positive	economic	article	2021	Mattivi et al.
Mapping using high-resolution orthophotos	Permitts the identification and analysis of weeds in both rows and interrows.	Corn	positive	economic	article	.	.
Weed mapping during harvest	Weed mapping during harvest underestimated the infested area by 6% compared to mapping after harvest using the grid method. The two methods were coincident in 45% of the marked area.	Corn	positive	economic	article	2004	Shiratsuchi et al.
Use of productivity monitors with the option of recording events like weed flags during harvest		Corn	positive	both	article	.	.
Unmanned aerial vehicle	Optimize processes, reduce costs and minimize environmentl impacts	NA	positive	both	article	2017	Chiacchio et al.
Drone use in general for agriculture 4.0	Optimize processes, reduce costs and minimize environmentl impacts	NA	positive	economic	article	2018	Villafuerte et al.
Unmanned aerial vehicle	Identify areas for aerial photography, monitoring agricultural areas, and areas prone to environmental problems	NA	positive	environmental	article	2020	Oliveira et al.
	Precise data collection, processing, and analysis	NA	positive	economic	article	.	.
Conservation Drone’ or surveying and mapping forests and biodiversity	Highlighting the potential of the system for environmental and conservation applications	NA	positive	environmental	article	2013	Pin Koh & Wich
	Flight time of ~25 minutes and over a distance of ~15 km	NA	positive	environmental	article	.	.
	Recording of high-definition videos and acquisition of aerial photographs with pixel resolution of <10 cm, which can be stitched together to produce real-time geo-referenced land use/cover maps of surveyed areas.	NA	positive	environmental	article	.	.

Use of drones in herbicide spot spraying: a systematic review

Abstract