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AgriEngineering
Volume 6
Issue 3
10.3390/agriengineering6030125
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Article

Optimized Walking Route Method for Precision Coffee Farming

by
Rafael de Oliveira Faria
1,
Fábio Moreira da Silva
1,
Gabriel Araújo e Silva Ferraz
1,*,
Mirian de Lourdes Oliveira e Silva
1,
Miguel Angel Diaz Herrera
2,
Daniel Veiga Soares
3 and
Aldir Carpes Marques Filho
1
1
Department of Agricultural Engineering, School of Engineering, Federal University of Lavras (UFLA), Lavras 37203-202, Minas Gerais, Brazil
2
School of Engineering, Universidad Surcolombiana, Neiva 410001, Huila, Colombia
3
REHAGRO, Lavras 30320-130, Minas Gerais, Brazil
*
Author to whom correspondence should be addressed.
AgriEngineering 2024, 6(3), 2130-2143; https://doi.org/10.3390/agriengineering6030125
Submission received: 8 April 2024 / Revised: 14 June 2024 / Accepted: 2 July 2024 / Published: 10 July 2024
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Abstract

Coffee production has become increasingly technified in order to optimize the use of inputs and the sustainable use of natural resources. In this context, one way that farmers are investing in their coffee plantations is in the use of precision agriculture techniques, termed precision coffee farming. Over the last few years, research has been conducted to facilitate the application of this technology, and sampling grids with two points per hectare have been recommended by several studies. These georeferenced demarcations in a plot are generally shaped as equidistant squares or rectangles, and the sampling points are located at the centers of these areas. Coffee farmers typically plant their crops following the level line, which greatly hinders the navigation of equidistant points within the field. Thus, the objective of this study was to develop an optimized walking route method to reduce the distance for sampling soil, leaf, and yield attributes. The experimental plots were established in 2000 at Samambaia Farm, located in Santo Antônio do Amparo, Minas Gerais, Brazil, with coffee the cultivar Acaia IAC 479-19, totaling 56.65 ha. The 111 sampling points were distributed in the land following the new method proposed in this study, and, after walking simulations using Farm Works Mapping Software, the new method was compared with the conventional method using the mean displacement between points. The new optimized walking routes method reduced the mean distance traveled to sample the points by 50.1%.
Keywords: precision agriculture; sampling time; leveling line crops precision agriculture; sampling time; leveling line crops

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MDPI and ACS Style

Faria, R.d.O.; Silva, F.M.d.; Ferraz, G.A.e.S.; Oliveira e Silva, M.d.L.; Herrera, M.A.D.; Soares, D.V.; Marques Filho, A.C. Optimized Walking Route Method for Precision Coffee Farming. AgriEngineering 2024, 6, 2130-2143. https://doi.org/10.3390/agriengineering6030125

AMA Style

Faria RdO, Silva FMd, Ferraz GAeS, Oliveira e Silva MdL, Herrera MAD, Soares DV, Marques Filho AC. Optimized Walking Route Method for Precision Coffee Farming. AgriEngineering. 2024; 6(3):2130-2143. https://doi.org/10.3390/agriengineering6030125

Chicago/Turabian Style

Faria, Rafael de Oliveira, Fábio Moreira da Silva, Gabriel Araújo e Silva Ferraz, Mirian de Lourdes Oliveira e Silva, Miguel Angel Diaz Herrera, Daniel Veiga Soares, and Aldir Carpes Marques Filho. 2024. "Optimized Walking Route Method for Precision Coffee Farming" AgriEngineering 6, no. 3: 2130-2143. https://doi.org/10.3390/agriengineering6030125

APA Style

Faria, R. d. O., Silva, F. M. d., Ferraz, G. A. e. S., Oliveira e Silva, M. d. L., Herrera, M. A. D., Soares, D. V., & Marques Filho, A. C. (2024). Optimized Walking Route Method for Precision Coffee Farming. AgriEngineering, 6(3), 2130-2143. https://doi.org/10.3390/agriengineering6030125

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