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Advanced Automation for Tree Fruit Orchards and Vineyards
果园和葡萄园的先进自动化
As the global population grows and consumer demand increases, enhancing production efficiency and product quality in orchards and vineyards has become a focal point within the agricultural tech community. For many countries and regions, orchards and vineyards are not merely segments of agricultural production; they also symbolize essential cultural heritage, economic revenue, and tourism assets.
随着全球人口的增长和消费需求的增加，提高果园和葡萄园的生产效率和产品质量已成为农业科技界的焦点。对许多国家和地区来说，果园和葡萄园不仅仅是农业生产的一部分；它们也象征着重要的文化遗产、经济收入和旅游资产。
Over the past few decades, with technological advancements, agriculture has transitioned from traditional manual labor to modernization, mechanization, and automation. Especially within the unique agricultural spheres of orchards and vineyards, where labor costs are high, physical demands are substantial, and timely needs are critical, the application of automation technologies is especially pertinent. From basic drip irrigation systems and automatic fertilization to advanced drone monitoring, fruit identification, and automated harvest robots, the implementation of these technologies has shown significant outcomes in some developed areas. However, despite their vast potential, their global adoption still faces numerous technological and cultural challenges.
在过去的几十年里，随着技术的进步，农业已经从传统的体力劳动向现代化、机械化和自动化过渡。特别是在果园和葡萄园等独特的农业领域，劳动力成本高，体力需求大，及时需求至关重要，自动化技术的应用尤为重要。从基本的滴灌系统和自动施肥，到先进的无人机监控、水果识别和自动收获机器人，这些技术在一些发达地区的实施已经取得了显著成果。然而，尽管它们具有巨大的潜力，但在全球范围内采用它们仍然面临许多技术和文化挑战。
This Special Issue aims to delve deeply into the current status of and developmental trends in automation technologies in orchards and vineyards. It showcases how these can assist fruit growers and winemakers in managing their farms more efficiently, accurately, and economically. Key areas of exploration include the following:
· Sensing technologies: Highlighting the latest sensing technologies that aid growers in the real-time monitoring of tree health, fruit status, and soil conditions.
· Robots and automated harvesting: Introducing cutting-edge automation and robotic technologies that address harvesting and management challenges within the orchard and vineyard landscapes.
· Data-driven orchard management: Exploring the utilization of big data and machine learning for intelligent decision support in orchards and vineyards.
· Disease and pest management: Discussing how automation technologies play a role in preventing and controlling diseases as well as pests in orchards and vineyards.
· Sustainability and sustainable agriculture: Delving into how advanced automation technologies ensure environmentally friendly and economically sustainable practices in orchards and vineyards.
本期专刊旨在深入探讨果园和葡萄园自动化技术的现状和发展趋势。它展示了这些技术如何帮助水果种植者和酿酒师更有效、准确和经济地管理他们的农场。重点探索领域包括：
传感技术：重点介绍最新的传感技术，帮助种植者实时监测树木健康、果实状态和土壤条件。
机器人和自动化收获：引入尖端的自动化和机器人技术，解决果园和葡萄园景观中的收获和管理挑战。
数据驱动的果园管理：探索利用大数据和机器学习为果园和葡萄园提供智能决策支持。
病虫害管理：讨论自动化技术如何在果园和葡萄园预防和控制病虫害方面发挥作用。
可持续发展和可持续农业：深入研究先进的自动化技术如何确保果园和葡萄园的环境友好和经济可持续发展。
客座编辑团队：
Dr. Tao Li（李涛）
Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
Interests: agricultural robotics; visual servoing; nonlinear control; intelligence task planning; reinforcement learning
Prof. Hui Zhao（赵辉）
School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China
Interests: agricultural robot control technology; intelligent control theory and applications; new energy control technology and applications
Dr. Zhengqiang Fan（樊正强）
College of Intelligent Science and Engineering, Beijing University of Agriculture, Beijing, China
Interests: mobile robotics; agricultural plant science; environmental information perception; information fusion; autonomous navigation
Dr. Qingchun Feng（冯青春）
Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
Interests: agricultural robotics control; compliant operation; intelligence sensing technology; deep reinforcement learning
关键词：自动化采摘机器人、农业机器人、传感技术、农业机器学习
Deadline for manuscript submissions: 31 December 2024
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编辑：李丽
声明:本文旨在前沿分享,若有编辑等问题,敬请后台留言
