Spatial and temporal variability of coffee fruit detachment force in relation to maturity aiming at smart harvesting
The implementation of smart harvesting, guided by variability in fruit detachment force, has the potential to facilitate and expand selective coffee harvesting, thereby strengthening the specialty coffee market. This study aimed to evaluate the variation in coffee fruit detachment force throughout the day, considering ripening stage and solar exposure. Evaluations were conducted over two harvest seasons (2018/2019 and 2019/2020) in an East-West-oriented Catuaí Vermelho IAC 144 coffee plantation located in Presidente Olegário, MG, Brazil. Following the principles of Statistical Quality Control (SQC), we analyzed the detachment force of fruits at different ripening stages across various times of the day and on the North- and South-facing sides of the plants, which receive higher and lower solar exposure, respectively. A portable digital dynamometer was used for measurements. The results indicate that both the time of day and solar exposure influence the coffee fruit detachment force, with increased solar exposure reducing the force required for fruit detachment. Fruits at the cherry stage exhibited the lowest detachment force and least variation in the afternoon, suggesting that this period is optimal for selective mechanized harvesting from a process quality standpoint.
Authors
- Igor Cristian de Oliveira Vieira (ORCID: https://orcid.org/0000-0002-0488-5008)
- Jarlyson Brunno Costa Souza (ORCID: https://orcid.org/0000-0001-8556-5665)
- José Ferreira Lustosa Filho (ORCID: https://orcid.org/0000-0001-6901-1718)
- Tiago de Oliveira Tavares (ORCID: https://orcid.org/0000-0003-3040-5482)
- Samira Luns Hatum de Almeida (ORCID: https://orcid.org/0000-0001-6900-1616)
- Rouverson Pereira da Silva (ORCID: https://orcid.org/0000-0001-8852-2548)
- Luciana Aparecida Rodrigues (ORCID: https://orcid.org/0000-0002-6680-8534)
Institutions
- Universidade Estadual Paulista (Unesp) (BR)
Publication Details
- Journal
- Smart Agricultural Technology
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1016/j.atech.2025.101394
- Citations
- 1
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico