Technical-economic viability of mechanized picking coffee (Coffea arabica L.) in up to three annual operations

Author:

De Oliveira Bruno R.,Tavares Tiago De O.,De Oliveira Luan P.,Da Silva Rouverson P.,Chicone Lívia C. G.

Abstract

Aim of study: Unavailability, coupled with the burden of labor for agricultural services nowadays, has made the mechanization process of harvesting of fallen coffee (Coffea arabica L.) essential. Although this operation has essential importance, it is often not monitored and executed in search of extreme quality. Considering the search for higher profits, this study aimed to analyze the performance of a coffee picker in three passes in an area in order to collect and process all the material and its economic viability.Area of study: The experiment was carried out in July 2017 in the Brazilian Cerrado, in the municipality of Presidente Olegário, Minas Gerais, Brazil, at Fazenda Gaúcha/Café.Material and methods: The amount of gathered coffee was equivalent to 600 kg ha−1 of processed coffee. The data from 2017 were used to analyze the economic viability of the picking operation. Treatments were distributed in split-blocks with three passes of the picking machine. The analyzed variables were picking and cleaning efficiency, picking losses, and percentage of vegetal and mineral impurities.Main results: Coffee losses reached the minimum level in the third pass. However, the harvesting operation could be carried out at most twice in the same area from the economic point of view under the evaluated conditions.Research highlights: Mechanized picking of coffee can be performed at most twice in the same area, providing a positive economic return.

Publisher

Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA)

Subject

Agronomy and Crop Science

Reference20 articles.

1. Alvarenga CB, Val-Júnior NA, Val VLP, Zampiroli R, Rinaldi PCN, 2018. Losses during the arabica coffee mechanical harvesting and gathering operations in the Cerrado region of Minas Gerais State. Acta Iguazu 7 (4): 35-46.

2. Alvares CA, Stape JL, Sentelhas PC, Moraes G, Leonardo J, Sparovek G, 2013. Köppen's climate classification map for Brazil. Meteorologische Zeitschrift 22 (6): 711-728.

3. Conab, 2019. Acompanhamento da safra brasileira: café. SAFRA 5 (3): 48 pp. Companhia Nacional de Abastecimento, Brasília. https://www.conab.gov.br/component/k2/item/download/28519_1451c80af85a09013032c62c38317623

4. Embrapa, 2013. Sistema brasileiro de classificação de solos [Brasilian soil classification]. Embrapa-Solos, Rio de Janeiro.

5. Escobar-Ramírez S, Grass I, Armbrecht I, Tscharntke T, 2019. Biological control of the coffee berry borer: main natural enemies, control success, and landscape influence. Biol Control 136 (1): 103992.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3