REMOTELY PILOTED AIRCRAFT SYSTEMS WITH RGB CAMERA TO MAP COMMERCIAL TABLE TOMATO NURSERIES

Abstract

Remotely Piloted Aircraft Systems (RPAS) are already a reality in Brazil. They are used in different fields of knowledge to obtain digital products that contribute to the identification, monitoring, control, and precision of the agricultural decision process. However, the cost-benefit of applying this technology to produce seedlings in commercial tomato nurseries needs better evaluation. This research analyzes the use of an RPAS with RGB camera over areas of table tomato seedlings and compares the cartographic products with the information obtained through semi-structured interviews with rural property owners in the States of Goiás, Minas Gerais, and the Federal District (Brasília). The results were not divided into external area applications and internal (greenhouse) mapping, as adopting technology for monitoring the seedling production process inside greenhouses is still economically unfeasible compared to human identification, thus not justifying the investment. Nonetheless, images of the external area provide crucial information for planning a nursery, considering its structural aspects and adequate disposal. 



Keywords: Seedling production; Digital Image Processing; UAV; Drones.

Author Biographies

Maria Gláucia Dourado Furquim, Federal Institute of Education, Science and Technology Goiano, Iporá (GO), Brazil

Phd in Agribusiness from the Federal University of Goiás - UFG. She is currently an Effective Professor in an Exclusive Dedication Regime at IF Goiano-Instituto Federal Goiano Campus Iporá-GO, working in the Courses of Agronomy, Technology in Agribusiness, Technician in Agriculture Integrated to High School, Technician in Secretariat and Technician in Institutional Administration Ead. She has experience in the area of Administration, with an emphasis on Management Strategies, People Management and Sustainability.

Abadia dos Reis Nascimento, Federal University of Goiás, Goiania (GO), Brazil

 PhD in Plant Production from the Federal University of Goiás (UFG). She held a Post-Doctorate at Embrapa Hortaliças. She has been an effective professor at the Federal University of Goiás since 2011 and is currently Associate Professor II. She is a permanent professor at the Graduate Programs in Agronomy and Agribusiness at UFG. She coordinated the first Specialization Course on Tomatoes for Industrial Processing (UFG). She is currently Deputy Director of the Campus of Caldas Novas at UFG. She teaches the Disciplines of Vegetable Production and Urban Vegetable Gardens: PANCs, aromatic and medicinal for Undergraduate and the Disciplines of Vegetable Production, Production of Vegetable Seedlings and Productive Chains of the State of Goiás for Graduate. She develops research in the area of phytotechnics, mainly in crops: tomato, lettuce, watermelon, sweet corn, pepper and the production of vegetable seedlings. Delegate of the Brazilian Association of Horticulture (ABH) of the State of Goiás.

João Vitor Silva Costa, Universidade Federal de Goiás - UFG

Master's student in the Graduate Program in Environmental Sciences at UFG. He was a member of Gaia-Consultoria Ambiental Jr, a jr company of IESA, between 2014 and 2016, being project director (2015) and vice-president director (2016). He was a fellow at the Image Processing and Geoprocessing Laboratory (LAPIG-UFG), cartography, geoprocessing and remote sensing monitor. Member of the Research and Training Program with Unmanned Aerial Vehicles (PRO-VANT). He has experience with Remotely Piloted Aircraft Systems (RPAS).

 

Manuel Eduardo Ferreira, Federal University of Goiás, Goiânia (GO), Brazil.

 PhD in Environmental Sciences from the Federal University of Goiás (2009), with a postdoctoral internship (2009) at the Woods Hole Research Center (Massachusetts, USA). As an Associate Professor at the Federal University of Goiás (UFG) - Institute of Socio-environmental Studies (IESA), he works as a researcher (since 2003) at the Image Processing and Geoprocessing Laboratory (LAPIG) of this university, where he coordinates PRO-VANT ( Center for Research and Training with Unmanned Aerial Vehicles). He was undergraduate coordinator of the Bachelor of Geography (2009-2010) and Environmental Sciences (2010-2012) courses, as well as coordinator of the Graduate Program in Geography (2014-2016), all at the Federal University of Goiás, campus Goiania. His lines of research involve the monitoring and environmental modeling of natural and anthropic landscapes in the Cerrado and Amazon biomes, through Remote Sensing and Geoprocessing techniques, including the organization and availability of geographic databases. 

Graciella Corcioli, Federal University of Goiás, Goiânia (GO), Brazil.

PhD in Agronomy from the Federal University of Goiás (2013). She is currently an Adjunct Professor at the Federal University of Goiás in the disciplines of Rural Sociology and Rural Development Policies. She has experience in the area of Agronomy, working mainly on the following topics: Family Agriculture, Rural Extension and Mineral Nutrition of Plants.

Lino Carlos Borges, Federal University of Goiás, Goiânia (GO), Brazil.

PhD in Agronomy from the Federal University of Goiás (2008). He is currently a professor at the University Center of Goiás (Uni Anhanguera), and a researcher at the Goiás Agency for Technical Assistance, Rural Extension and Agricultural Research. He has experience in the area of Agronomy, with an emphasis on Soil and Water Engineering, working mainly on the following topics: pesticide application technology, precision agriculture, maps, technical report, sustainable agriculture, environmental planning and georeferencing. He has expertise in soil fertility (fertilizers and plant nutrition), soil microbiology and biochemistry, biotechnology. 

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Published
12/02/2023
How to Cite
FURQUIM, Maria Gláucia Dourado et al. REMOTELY PILOTED AIRCRAFT SYSTEMS WITH RGB CAMERA TO MAP COMMERCIAL TABLE TOMATO NURSERIES. Mercator, Fortaleza, v. 22, feb. 2023. ISSN 1984-2201. Available at: <http://www.mercator.ufc.br/mercator/article/view/e22001i>. Date accessed: 21 feb. 2024. doi: https://doi.org/10.4215/rm2023.e22001i.
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ARTICLES