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　　先進(jìn)的國(guó)際農(nóng)機(jī)前沿技術(shù)（英文版）

Intelligent agricultural machinery technology based on emerging information technology, photoelectric control technology and big data technology represented by sensors, robots, drones and some certain kinds technology like those has developed rapidly and has broad application prospects, which has become the focus of attention of all countries.

1 Robot Technology

It is expected that robots will be widely used on farms in the future and will change the traditional direction of agricultural machinery.

The research on weeding robots and unmanned driving in the frontier of robotics is of the largest quantity. The four core technologies of the weeding robot control system include weed detection and identification, weed control and mapping, and the detection and control of weeds remains the biggest technical challenge. Unmanned related technology can be extended to the development of field wheeled robots.

2 Precision Agriculture Sensor Technologies

Highly cited papers on precision agricultural sensor technology include drone imaging, pest and disease monitoring.

Monitoring sensing technologies for field crop management include field electronic sensors, machine vision, airborne multispectral and hyper spectral remote sensing, satellite imaging, thermal imaging, radio frequency identification, and machine olfactory systems.

3 Rotor Drone

Recently, there has been an increasing interest in developing unmanned aircraft systems (UAS) with advanced autonomous capabilities. The rotary wing drone has the advantages of being able to take off and land vertically, being able to hover freely, being flexible, and adapting to various environmental capabilities. It has become the focus of many laboratory researches at domestic and abroad.

4 Precision Agriculture Remote Sensing Technology and Geographic Information System

In the field of remote sensing technology, advanced remote sensing applications such as light detection and ranging (LiDAR), fluorescence spectroscopy and thermal spectroscopy have been achieved using electromagnetic wavelength ranges from ultraviolet to microwave. With the advent of hyper spectral remote sensing technology, the spectral bandwidth is greatly reduced, improving the analysis of specific compounds, intermolecular interactions, crop stress and remote sensing monitoring of crop biophysical or biochemical properties.

5 Foremost Research Institutions

Research shows that informationization, automation and intelligence are the main directions for the development of agricultural machinery in the future. The emerging technologies driven by the fourth industrial revolution, such as big data, Internet of Things, artificial intelligence and machine learning, autonomous vehicles, robots and other kinds of things, can be significant opportunities for agricultural machinery industry transformation and upgrading.

Therefore, it is recommended that the state strongly support the research and development of intelligent agricultural machinery, support the cross-integration application of multi-disciplinary fields such as information technology and artificial intelligence technology of agricultural machinery, promote the key technological innovations of the industry, and improve the level of agricultural machinery technology and industrial development.