Development status and trends of intelligent control technology in unmanned farms

doi:10.12398/j.issn.2096-7217.2023.03.001

Abstract

Abstract:

With China’s urbanization， land circulation has emerged as an avenue for efficient and intensive land use. Embracing technology as a primary driver， the unmanned farm technology model represents a bold attempt at sustainable agriculture development. This review focuses on the frontier and development trajectory of key core technologies， and addresses the significant industrial challenges of insufficient accumulation of data on unmanned farms， unknown interaction mechanisms among the environment， plants， and equipment， and lack of multi-parameter integration and regulation strategies for intelligent equipment. Technologies such as autonomous positioning and navigation， online professional sensor， work obstacle information perception， path planning， decision-making， multi-machine collaboration， autonomous operation， and variable operation technology have been implemented in this study. The research shows that， in future， realizing unmanned farms requires special sensors for agricultural intelligent equipment， precise operational decision control systems， and practically intelligent equipment. At meanwhile， addressing such challenges necessitates a focus on core technologies such as insufficient basic big data accumulation of unmanned farms， modeling of environment-plant-equipment interaction mechanism， and intelligent decision control algorithm. This comprehensive improvement in automation， intelligence， and environmental sustainability of agricultural production marks the future development trajectory of unmanned farms.

Key words: unmanned farm, intelligent control technology, agriculture perception sensors, intelligent task automation

CLC Number:

QIAN Zhenjie, JIN Chengqian, LIU Zheng, YANG Tengxiang. Development status and trends of intelligent control technology in unmanned farms[J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(3): 1-13.

Figures/Tables 10

Figure 1 Schematic of unmanned farm systems

Figure 2 Integrated solutions for unmanned farms

Figure 3 Loss rate sensor， impurity content sensor， and yield diagram

Figure 4 Improved Deeplabv3+ with coding layer and attention mechanism optimization

Figure 5 Intelligent soybean sensors and system for combine harvesters

Figure 6 Path planning decisions technolog

Figure 7 Multiple machines cooperative technology

Figure 8 Driverless technology

Figure 9 Agriculture machine with variable operation decision system

Figure 10 Unmanned farm intelligent management platform

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