Abstract
Sensors, communication systems and geo-reference units are required to achieve an optimized management of agricultural inputs with respect to the economic and environmental aspects of olive groves. In this study, three commercial olive harvesters were tracked in Spain and Chile using remote and autonomous equipment to determine their time efficiency and field capacity. An experimental methodology for analyzing the data to determine the field capacity and efficiency is proposed, which, along with a conventional methodology, was used to analyze the data to determine field capacity and efficiency. The results of both methodologies are compared to validate the suitability of the experimental methodology. Furthermore, a yield monitor was developed and evaluated using one of the tested olive harvesters. The results show that yield monitoring of olives is possible, but further research is needed to achieve a more reliable methodology.
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Acknowledgments
The authors thank the Ministry of Economy, Innovation and Science of the Andalusian regional government for economic support. We appreciate Soluciones Agrícolas de Precisión S.L. for its collaboration in providing modems and a web server. We are grateful to Todolivo S.L. and DEA S.L., who allowed us to obtain data from their harvesters and to use it in writing this document.
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Agüera-Vega, J., Blanco, G.L., Castillo, F.J., Castro-Garcia, S., Gil-Ribes, J.A., Perez-Ruiz, M. (2013). Determination of field capacity and yield mapping in olive harvesting using remote data acquisition. In: Stafford, J.V. (eds) Precision agriculture ’13. Wageningen Academic Publishers, Wageningen. https://doi.org/10.3920/978-90-8686-778-3_85
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DOI: https://doi.org/10.3920/978-90-8686-778-3_85
Publisher Name: Wageningen Academic Publishers, Wageningen
Online ISBN: 978-90-8686-778-3
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