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China Autonomous Agricultural Machinery Research Report, 2020

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    Report

  • 201 Pages
  • March 2021
  • Region: China
  • Research In China
  • ID: 5305836
Autonomous Agricultural Machinery Research: 17,000 sets of autonomous agricultural machinery systems were sold in 2020, a year-on-year increase of 188%

Autonomous agricultural machinery relies heavily on high-precision navigation, and the operating environment herein is relatively simple, not as complicated as autonomous vehicle technology. With a higher level of agricultural mechanization in China and the country's strong support for precision agriculture, autonomous agricultural machinery has gradually been applied to farmland. At present, most of autonomous agricultural machinery systems mainly focus on assisted driving and linear autonomous driving, which can not only reduce the operating difficulty and labor intensity of the driver in the operation of agricultural machinery, but also extend the operating time of the agricultural machinery.

In May 2020, the Ministry of Agriculture and Rural Affairs of the People's Republic of China (MARA), National Development and Reform Commission of China (NDRC), etc. issued the Notice on Printing and Distributing “Key Points of Digital Rural Development in 2020' , proposing research on key technologies and innovative applications around smart agriculture, smart agricultural machinery & equipment, etc. to promote the in-depth integration of artificial intelligence technology and agriculture.

China's autonomous agricultural machinery industry has entered a stage of rapid development

The development of autonomous agricultural machinery requires the coordination and cooperation between multiple parties. China's autonomous agricultural machinery industry has entered a stage of rapid development thanks to multiple factors such as the subsidy policy of the national autonomous agricultural machinery system, the success in the third phase of the BeiDou system (BDS-3), as well as 'Unmanned Farm' promotion projects of agricultural machinery factories, science and technology enterprises and institutions.

In 2020, China's agricultural automatic navigation system and equipment sales volume showed explosive growth. According to the data released by MARA, agricultural machinery supported the installation of more than 23,000 sets of Beidou terminals in 2020, nearly quadrupling that in the previous year; wherein, 17,000 sets of autonomous agricultural machinery systems were sold, a year-on-year spike of 188%. With the increase in the farmland circulation area, the preliminary construction of high-standard farmland and the loss of rural population exacerbated by further urbanization, we predict that China's autonomous agricultural machinery systems will continue to maintain rapid growth for a while. By 2025, China will sell 115,000 sets of autonomous agricultural machinery systems.

At present, the ownership of large and medium-sized agricultural machinery used in agricultural operations in China exceeds 5 million units. Such agricultural machinery uses autonomous agricultural machinery systems relatively easier, and can operate more accurately and efficiently when combined with automatic driving systems and intelligent control systems. For the agricultural machinery, tractors feature the highest installation rate in autonomous driving systems.

According to data from the National Bureau of Statistics of China, China produced 617,700 tractors in 2019, reflecting a slight rebound. Large and medium-sized tractors gradually replaced small tractors. As of the end of 2019, China had boasted 22.24 million agricultural tractors, including 4.44 million large and medium-sized tractors. The publisher believes that the penetration rate of China's autonomous agricultural machinery systems is still less than 1% as per the ownership of large and medium-sized agricultural machinery.

In 2020, Ministry of Finance of China issued more than RMB20 billion as the central government’s subsidies for the purchase of agricultural machinery. China plans to make the comprehensive mechanization rate of crop plowing, planting and harvesting reach 75% by 2025. In the context of the continuous improvement of the agricultural mechanization level, China's agricultural autonomous driving industry is still in the early stage of development, with enormous potentials.

However, we should also be aware that the long-term penetration rate of China’s autonomous agricultural machinery will be much lower than that in Europe and America, mainly because it is difficult to apply large-scale agricultural machinery in Chinese cultivated land which is mostly located in mountains and hills and it is still necessary to ensure the livelihood of Chinese farmers in vast rural areas for a long time.

The national agricultural machinery subsidy policy has greatly promoted the sales growth of autonomous agricultural machinery systems

Now, a set of domestic autonomous agricultural machinery system is priced at RMB50,000-60,000, dropping significantly from RMB100,000-140,000 in the previous years. At present, a set of system can obtain about subsidy of RMB15,000-25,000 which reduces the economic burden of farmers and promoted the sales growth of autonomous agricultural machinery systems.

As agricultural geographical conditions and machinery development vary with regions, each province or city in China sets its own subsidy amount for autonomous agricultural machinery systems, and adjusts the subsidy policy according to its own development. The subsidy mainly hinges on braking methods (hydraulic/electric), driving speed (≥12km/h, 9-12km/h) and linear accuracy (±10cm/±2.5cm). With the continuous reduction in the price of autonomous agricultural machinery systems, many provinces have cut down the amount of subsidy for agricultural machinery automatic navigation systems and equipment.

There are three main reasons for the decline in the subsidy for autonomous agricultural machinery systems:
1. In areas where autonomous agricultural machinery is well promoted, such as Xinjiang and Heilongjiang, autonomous agricultural machinery has undergone the initial promotion stage and has actually entered the marketization stage;
2. The subsidy for autonomous agricultural machinery is lowered in accordance with the driving speed and linear accuracy requirements, mainly for the purpose of guiding autonomous driving systems to develop toward efficient production and high-precision operations of agricultural machinery;
3. The price of autonomous agricultural machinery systems continues to decline year-on-year, and the scale effect is gradually emerging.

Autonomous agricultural machinery covers the whole process of agricultural production

At present, autonomous agricultural machinery has been applied in major agricultural planting areas in China, covering the entire agricultural production process: 'cultivation- planting - management - harvesting'.

In terms of autonomous agricultural machinery, enterprises such as Dongfeng Iseki and Jiufu Agricultural Machinery have conducted experiments and demonstrations of unmanned rice transplanting in Jiansanjiang Farm and other places, and have made good progress. In 2020, a rice transplanter operator earned RMB700 per day in Northeast China, reflecting labor costs rose significantly. Unmanned rice transplanting requires fewer operators or even does not need operators anymore, so that social and economic benefits hereby are very significant. Heilongjiang, Inner Mongolia, Jiangsu and other regions are also actively conducting experiments on unmanned farms and unmanned operation of agricultural machinery. At present, many unmanned farm projects have been built in China, such as Great Northern Wilderness Unmanned Jiansanjiang Farm, the unmanned farm of South China Agricultural University in Zengcheng District, Guangzhou, the unmanned farm in Jiading District, Shanghai, and the “5G+ unmanned farm” in Haimen, Nantong, Jiangsu. These projects will prompt China's autonomous agricultural machinery into the autonomous driving stage.
Chinese autonomous agricultural machinery will still focus on the aftermarket in the short term

Automatic navigation systems are already necessary for the intelligentization of agricultural machinery, especially large tractors, in developed countries. In the United States, high-horsepower tractors with more than 100 horsepower produced by companies such as Case and John Deere are equipped with agricultural machinery automatic navigation systems before marketing.

From the perspective of the global market, large agricultural machinery manufacturers offer a series of models pre-installed with automatic driving (GPS Ready), such as John Deere’s 8R series AutoTrac technology, Case New Holland’s Magnum series AFS AccuGuide technology, and AGCO’s AutoGuide3000 coming with Danfoss hydraulic valves, Agrirobo automation technology of Kubota’s X tractor, and Smartpilot system of Yanmar’s YR8D-A automatic rice transplanters.

In the domestic OEM market, China YTO’s Dongfanghong tractors, Lovol’s Arbos series and Ceres series, Zoomlion’s PL2304 tractors and 3WP-600HA unmanned plant protection machines, etc. feature OEM autonomous solutions.

In the domestic aftermarket, autonomous systems of foreign brands played the main role before 2017. Since 2017, domestic brands have gradually taken the lead in the market thanks to the national subsidy for autonomous agricultural machinery made in China. Supported by policies, China has initially formed a relatively complete industrial chain system of autonomous agricultural machinery. Upstream companies engaged in Beidou navigation equipment, lidar and computing platforms work closely with midstream autonomous system vendors to provide autonomous driving systems for downstream agricultural machinery enterprises and enable mass application in some areas.

Chinese autonomous agricultural machinery still focuses on the aftermarket, mainly because:
1. Large-scale farms with a high degree of mechanization are the first to promote autonomous agricultural machinery systems. The post-installed system can be modified on the basis of the original agricultural machinery, which is easier to be accepted by customers;
2. An agricultural machine installed with an OEM system costs hundreds of thousands of yuan, which is not appealing to customers. However, the average price of a post-installed system for autonomous agricultural machinery is only RMB50,000-60,000 and can be subsidized RMB15,000-25,000 by the government additionally, posing obvious cost advantages;
3. The domestic autonomous agricultural machinery systems are still in the early stage of development, thus with weak technical reliability and stability. Therefore, post-installed autonomous driving systems are relatively easy to accept.

At the same time, post-installed Beidou navigation autonomous driving systems face many problems in the promotion. E.g:
(1) Agricultural operations are sensitive to timing, so customers have higher requirements for positioning stability and after-sales services; moreover, prices are a crucial factor;
(2) The failure rate of autonomous driving systems is relatively high, so the reliability and functions need be further improved;
(3) Users are still unfamiliar with autonomous driving systems, so they may operate improperly or wrongly. Therefore, new users should be trained before operations, and old users should be trained constantly also.

In the future, autonomous agricultural machinery will have promising application prospects in China through cutting-edge technologies such as the Internet of Things, big data, cloud computing and AI, in the wake of the continuously improved domestic agricultural production management, the transformation of agriculture from traditional operations to precise operations, and the upgrading of agricultural enterprises from extensive management to refined management.


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Table of Contents

1. Overview of Autonomous Agricultural Machinery
1.1 Agriculture Development Stages
1.2 Agricultural Machinery Types and Development Importance
1.3 Development of Intelligent Agriculture is Inseparable from Intelligent and Automated Agricultural Machinery
1.3.1 Overview of Autonomous Agricultural Machinery Technology
1.3.2 Industrial Chain of Autonomous Agricultural Machinery Industry
1.3.3 Pain points of Traditional Agriculture and Value of Autonomous Agricultural Machinery
2. Situation and Trend of Autonomous Agricultural Machinery Market
2.1 Industry Policies and Standards
2.1.1 Policies
2.1.2 Standardization Policy
2.1.3 Subsidy Standard
2.1.4 Beidou Satellite Networking Facilitates the Development of Autonomous Agricultural Machinery
2.2 Development History and Status Quo of Autonomous Agricultural Machinery
2.2.1 Development History of Global Autonomous Agricultural Machinery
2.2.2 Status Quo of Autonomous Agricultural Machinery Development: USA
2.2.3 Status Quo of Autonomous Agricultural Machinery Development: Japan
2.2.4 Development Stage of Autonomous Agricultural Machinery in China
2.2.5 Status Quo of Autonomous Agricultural Machinery Development: China
2.3 Market Size of Autonomous Agricultural Machinery System in China
2.3.1 Ownership of Agricultural Machinery
2.3.2 Sales Volume of Autonomous Agricultural Machinery System
2.3.3 Market Size of Autonomous Agricultural Machinery System
2.3.4 Penetration of Autonomous Agricultural Machinery System
2.3.5 Cost Calculation of Autonomous Agricultural Machinery System
2.3.6 Distribution of Autonomous Agricultural Machinery System by Region
2.3.7 Sales Volume of Autonomous Agricultural Machinery System by Players
2.3.8 Sales Volume of Autonomous Agricultural Machinery Products
2.3.9 Price Comparison of Autonomous Agricultural Machinery Products
2.4 Competitive Landscape of Autonomous Agricultural Machinery in China
2.4.1 Competitive Landscape
2.4.2 Financing and Cooperation
2.4.3 Project Landing
2.4.4 Comparison of Major Products
2.5 Restrictions on Landing of Autonomous Agricultural Machinery
2.6 Technology Development Trend
2.7 Market Development Trend
3. Autonomous Agricultural Machinery Technology Solutions
3.1 Technology Solution
3.1.1 Autonomous Agricultural Machinery System: double antenna RTK-GNSS positioning-based system architecture
3.1.2 Autonomous Agricultural Machinery Players: control and manage connected agricultural machinery by platform service mode
3.2 Perception Solution
3.2.1 Autonomous Agricultural Machinery System: Navigation Positioning and Environment Perception Technology Based on Multi-source Information Fusion
3.2.2 Satellite Positioning System
3.2.3 Machine Vision Navigation
3.2.4 Obstacle Detection and Recognition
3.3 Decision Solution
3.3.1 Path Planning
3.3.2 Path Tracking and Control
3.3.3 Assembly Integration Technology
3.3.4 Agricultural IoT
3.4 Execution Solution
3.4.1 Controller Solution
3.4.2 Comparison of Controlling Modes
3.4.3 Competitive Landscape of Controlling Modes
3.5 Infrastructure of Autonomous Agricultural Machinery
3.5.1 Base Station
3.5.2 CORS
3.5.3 System Composition of CORS
3.5.4 Working Principle of CORS
3.5.5 Development Advantages of CORS
3.5.6 High-standard Farmlands
3.6 Comparison of Major Autonomous Agricultural Machinery Solutions
4. Application Cases of Autonomous Agricultural Machinery in China
4.1 Unmanned Farm Projects
4.1.1 Teaching and Research Base of South China Agricultural University in Zengcheng District, Guangzhou
4.1.2 Great Northern Wilderness Unmanned Jiansanjiang Farm Projects
4.1.3 Pilot Project of Unmanned Operation in the Whole Process of Agriculture in Xinghua, Jiangsu
4.2 Application Scenarios of Autonomous Agricultural Machinery System: Planting
4.2.1 Tractor Farming
4.2.2 Cotton Planting
4.2.3 Rice Transplanting
4.3 Application Scenarios of Autonomous Agricultural Machinery System: Ground Plant Protection Operations
4.4 Application Scenarios of Autonomous Agricultural Machinery System: Harvesting
4.5 OEM and AM System Application of Autonomous Agricultural Machinery
4.5.1 OEM
4.5.2 AM System
5. Autonomous Agricultural Machinery Manufacturers
5.1 Zoomlion
5.1.1 Profile
5.1.2 Smart Agriculture and Autonomous Driving
5.1.3 Autonomous Agricultural Machinery System Architecture
5.1.4 Main Autonomous Agricultural Machinery Technologies
5.1.5 Unmanned Agricultural Machinery Products
5.1.6 Autonomous Driving Application
5.1.7 Smart Agriculture Demonstration Base Construction and Industry-University-Research Cooperation Project in Wuhu City, Anhui
5.1.8 Industry-University-Research Cooperation: Joint Research of Intelligent Agricultural Machinery
5.2 Lovol
5.2.1 Profile
5.2.2 R&D System
5.2.3 Autonomous Agricultural Machinery Layout
5.2.4 Arbos Tractor
5.2.5 Development Route of Arbos Tractor
5.2.6 Unmanned Harvester Technology Solution
5.2.7 Autonomous Agricultural Machinery System
5.2.8 Cooperation with Baidu: Mass Production of Autonomous Agricultural Machinery
5.3 FJ Dynamics
5.3.1 Profile
5.3.2 Unmanned Farm Solution
5.3.3 Unmanned Agricultural Machinery Products Line
5.3.4 Autonomous Agricultural Machinery System
5.3.5 Operation of Jiangyu Autonomous Navigation System
5.3.6 Application of Autonomous Agricultural Machinery System
5.3.7 5G Intelligent Harvester
5.3.8 Cooperation with Microsoft Azure
5.3.9 Cooperation with Jiangsu Provincial Agricultural Reclamation and Development Co., Ltd.
5.4 China YTO
5.4.1 Profile
5.4.2 Autonomous Agricultural Machinery System
5.4.3 Autonomous Agricultural Machinery Layout
5.4.4 Dongfanghong LX904 Autonomous Tractor
5.4.5 China YTO "Super Tractor I" Appears in Shanghai Chongming "5G + Smart Farm" Demonstration Zone
5.4.6 Cooperation
5.5 John Deere
5.5.1 Profile
5.5.2 Autonomous Agricultural Machinery System
5.5.3 ATU Automatic Navigation Device
5.6 AGCO+ Tianjin Ztron Beyond Intelligent Technology Co., Ltd.
5.6.1 Profile
5.6.2 Autonomous Agricultural Machinery System
5.7 Iseki
5.7.1 Profile
5.7.2 Unmanned Agricultural Machinery Development Planning
5.7.3 Manned Surveillance Robot Tractor
5.7.4 Unmanned Tractor
5.7.5 Unmanned Rice Transplanter
5.7.6 Unmanned Driving Demonstration Project
5.8 Kubota
5.8.1 Profile
5.8.2 Smart Agriculture System
5.8.3 Unmanned Agricultural Machinery Development
5.8.4 Unmanned Agricultural Machinery Planning
5.8.5 Autopilot Function of Tractor
5.8.6 Cooperation with Nvidia
5.9 Yanmar Agricultural Equipment
5.9.1 Profile
5.9.2 Autonomous Agricultural Machinery Products
5.10 XAG
5.10.1 Profile
5.10.2 Smart Agriculture Product Lines
5.10.3 Autonomous Agricultural Machinery System
5.10.4 Agricultural Machinery Self-driving Instrument
6. Autonomous Agricultural Machinery System Suppliers
6.1 Lianshi Navigation
6.1.1 Profile
6.1.2 Beidou Precision Agriculture Solution
6.1.3 Automatic Navigation Driving System
6.1.4 Application Projects of AF300 Series
6.1.5 Sales and Business Model of Automatic Navigation Driving System
6.2 Kalman
6.2.1 Profile
6.2.2 Autonomous Agricultural Machinery System
6.2.3 Application Cases of Autonomous Agricultural Machinery System
6.2.4 Sales and Business Model of Autonomous Agricultural Machinery System
6.3 UniStrong
6.3.1 Profile
6.3.2 Development Course
6.3.3 Farm Information Solution
6.3.4 Autonomous Agricultural Machinery System
6.3.5 Satellite Navigation Assisted Driving System
6.3.6 Application of Autonomous Agricultural Machinery System
6.3.7 Major Clients of Autonomous Agricultural Machinery System
6.4 CHC Navigation
6.4.1 Profile
6.4.2 Autonomous Agricultural Machinery Solution
6.4.3 Autonomous Agricultural Machinery System
6.4.4 Autonomous Driving System of Transplanter
6.4.5 Agricultural Machinery Navigation Light Target Guidance System and Agricultural Machinery Operation Monitoring Intelligent Terminal
6.4.6 Application of Autonomous Agricultural Machinery System
6.5 Comnav Technology Ltd.
6.5.1 Profile
6.5.2 Autonomous Agricultural Machinery System
6.5.3 Application of Autonomous Agricultural Machinery System
6.6 Huida Technology
6.6.1 Profile
6.6.2 Autonomous Agricultural Machinery System
6.6.3 Parameters of Autonomous Agricultural Machinery System
6.6.4 Application Case of Autonomous Agricultural Machinery System
6.7 Topcon+ Xingtu Navigation
6.7.1 Profile
6.7.2 Topcon System 150 Precision Automatic Navigation and Driving System
6.7.3 Autonomous Agricultural Machinery System
6.8 Trimble Autonomous Driving Navigation System
6.9 Qianxun SI-Qianyun Beidou Autonomous Agricultural Machinery System

Companies Mentioned

  • Zoomlion
  • Lovol
  • FJ Dynamics
  • China YTO
  • John Deere
  • AGCO+ Tianjin Ztron Beyond Intelligent Technology Co., Ltd.
  • Iseki
  • Kubota
  • Yanmar Agricultural Equipment
  • XAG
  • Lianshi Navigation
  • Kalman
  • UniStrong
  • CHC Navigation
  • Comnav Technology Ltd.
  • Huida Technology
  • Topcon+ Xingtu Navigation
  • Trimble

Methodology

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