Development and Control of Drones Applied to Monitoring in Fruit Growing during the Harvesting

Hito G.A.R.; Bravo Y.A.P.; Pampa R.A.V.; Talavera S.J.; Guevara M.J. · SSRG International Journal of Electrical and Electronics Engineering (2023) · DOI: 10.14445/23488379/ijeee-v10i12p110

Resumen

In the agricultural industry, accurate and efficient monitoring of the state of crops during the harvest stage is essential to ensure the quality of fresh produce, so this work proposes a system for monitoring fruit at the harvest stage through the use of drones and the development of image processing algorithms to estimate the measures of the fruit by comparing stereo vision and ArUco Marker; in addition also develops an algorithm to specify the stage of maturity in which they are. The tests were carried out on avocado crops in the Majes valley, Arequipa. In the tests, the effectiveness of the algorithms was obtained, evaluating the data obtained by the system and the actual data, demonstrating a reliable detection and an accurate calculation of the size of the avocados. The results are visualized by means of maps highlighting the different stages of maturity. This innovative approach presents significant potential for improving crop monitoring and management, especially in regions such as fruit exporting in Arequipa, where quality and precision are crucial to consolidate its position in international markets.

Instituciones: Universidad Nacional de San Agustín de Arequipa