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Yield map generation of perennial crops for fresh consumption
Precision Agriculture ( IF 6.2 ) Pub Date : 2021-09-13 , DOI: 10.1007/s11119-021-09855-2
Claudio Leones Bazzi 1 , Michel Rosin Martins 1 , Bruno Eduardo Cordeiro 1 , Kelyn Schenatto 1 , Pedro Luiz de Paula Filho 1 , Ricardo Sobjak 1 , Luciano Gebler 2 , Eduardo Godoy de Souza 3
Affiliation  

Yield mapping technologies can help to increase the quantity and quality of agricultural production. Current systems only focus on the quantification of the harvest, but the quality has equal or greater importance in some perennial crops and impacts directly on the financial profitability. Therefore, a system was developed to quantify and relate the quality obtained in the classification line with the plants of the orchard and for decision-making. The system is comprised of hardware, which obtains the location of the harvester bag during harvesting and unloading at the unloading site, and software that processes the collected data. The cloud of real-time data contributed from the different collectors (bins) allows the construction of yield maps, considering the multi-stage harvesting system. Further, the system enables the creation of a detailed map of the plants and fruits harvested. As the harvest focuses on quality, it takes place in stages, depending on the ripening of the fruits. In addition to the yield maps, the system allows identification of the efficiency of each worker undertaking the harvest by the number of performed discharges and by the time spent. The system was developed in partnership with the Federal Technological University of Paraná and Embrapa Uva & Vinho and was tested in apple orchards in southern Brazil. Although the system was evaluated with only data from apple cultivation, monitoring the quality and quantifying other orchard fruits can positively impact the fruit sector.



中文翻译:

用于新鲜消费的多年生作物的产量图生成

产量测绘技术有助于提高农业生产的数量和质量。目前的系统只关注收获的量化,但质量在一些多年生作物中具有同等或更大的重要性,并直接影响财务盈利能力。因此,开发了一个系统来量化和关联在分类线中获得的质量与果园植物和决策。该系统由在卸货现场获取收割机袋在收割和卸货过程中的位置的硬件和处理收集到的数据的软件组成。考虑到多阶段收割系统,来自不同收集器(箱)的实时数据云允许构建产量图。更远,该系统可以创建收获的植物和水果的详细地图。由于收获侧重于质量,因此会根据果实的成熟程度分阶段进行。除了产量图外,该系统还允许通过执行排放的数量和花费的时间来识别每个工人进行收获的效率。该系统是与巴拉那联邦理工大学和 Embrapa Uva & Vinho 合作开发的,并在巴西南部的苹果园进行了测试。尽管该系统仅使用来自苹果种植的数据进行评估,但监控质量和量化其他果园水果可以对水果行业产生积极影响。除了产量图外,该系统还允许通过执行排放的数量和花费的时间来识别每个工人进行收获的效率。该系统是与巴拉那联邦理工大学和 Embrapa Uva & Vinho 合作开发的,并在巴西南部的苹果园进行了测试。尽管该系统仅使用来自苹果种植的数据进行评估,但监控质量和量化其他果园水果可以对水果行业产生积极影响。除了产量图外,该系统还允许通过执行排放的数量和花费的时间来识别每个工人进行收获的效率。该系统是与巴拉那联邦理工大学和 Embrapa Uva & Vinho 合作开发的,并在巴西南部的苹果园进行了测试。尽管该系统仅使用来自苹果种植的数据进行评估,但监控质量和量化其他果园水果可以对水果行业产生积极影响。Vinho 并在巴西南部的苹果园进行了测试。尽管该系统仅使用来自苹果种植的数据进行评估,但监控质量和量化其他果园水果可以对水果行业产生积极影响。Vinho 并在巴西南部的苹果园进行了测试。尽管该系统仅使用来自苹果种植的数据进行评估,但监控质量和量化其他果园水果可以对水果行业产生积极影响。

更新日期:2021-09-14
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