DUBLIN--(BUSINESS WIRE)--The "China Smart Agriculture and Autonomous Agricultural Machinery Market Report, 2022" report has been added to ResearchAndMarkets.com's offering.

Research on smart agriculture and autonomous agricultural machinery: top-level design, agricultural digitization and automation present a potential market

Amid the pandemic, the conflict between Russia and Ukraine has directly led to a reduction in global food production, which will exacerbate the global instability. Since 2022, the FAO (Food and Agriculture Organization) Food Price Index (FFPI) of has been soaring.

The No.1 central document, which is issued by China's central authorities in 2022, pointed out, `We must firmly hold the bottom lines of guaranteeing China's grain security and ensuring there will be no large-scale return to poverty.` It also called for greater efforts in the construction of digital villages, development of smart agriculture, as well as integrated application of information technology, agricultural machinery and agronomy.

The outline of the `14th Five-Year Plan` mentioned that it is necessary to accelerate the development of smart agriculture and promote the digital transformation of agricultural production, operation and management services. The government's work report in 2022 stipulated `the development of digital villages` for the first time, signaling an important way to realize the modernization of agriculture and rural areas.

The CAGR of China's smart agriculture market size exceeds 14.1%, and agricultural digitalization generates a potential market

It is estimated that by 2025, the total output value of smart agriculture in the world will reach USD68.389 billion. In Asia-Pacific, the fastest growing region, smart agriculture mainly includes precision agriculture in fields, smart animal husbandry, smart fishery, and smart greenhouses; main technologies include remote sensing and sensor systems, agricultural big data and cloud service technology, intelligent agricultural equipment (UAVs, robots).

According to UN projections on population and hunger, the global population will increase by 2 billion by 2050, and agricultural productivity will need to increase by 60% to provide adequate food. Artificial intelligence and machine learning are likely to be at the core of new technologies to help close the gap in anticipated food needs for an additional 2 billion people worldwide by 2050. Global spending on connected smart farming technologies and systems, including artificial intelligence and machine learning, will grow significantly in the future.

In China, the increasing demand for modern agricultural machinery and the continuous R&D and application of new technologies will promote the sustained and rapid growth of the smart agriculture market. Driven by stimuli such as the national rural revitalization strategy and the national digital agriculture strategy, a potential agriculture market appeals to giants like Alibaba, JD.com, Baidu, and Tencent that have deployed smart agriculture to promote the construction of smart agriculture in China.

Smart agriculture is the starting point of rural revitalization. The encouragement and benefits at the macro level have spurred a large number of technology companies to smart agriculture, covering all sectors ranging from production to marketing. More and more technology start-ups bring a lot of capital while flocking into smart agriculture construction.

In the future, smart agriculture will see rapid growth under the influence of favorable policies, application of innovative technologies and capital support.

Key Topics Covered:

Chapter 1 Overview of Smart Agriculture and Autonomous Agricultural Machinery

1.1 Overview of Smart Agriculture

1.2 Development of Autonomous Agricultural Machinery

1.3 Policies Related to Smart Agriculture

1.4 Policies Related to Autonomous Agricultural Machinery

Chapter 2 Status Quo of Smart Agriculture and Autonomous Agricultural Machinery Market

2.1 Status Quo of Global and Chinese Smart Agriculture

2.2 Status Quo of Smart Agriculture in China

2.3 Status Quo of Global and Chinese Autonomous Agricultural Machinery

2.4 China's Autonomous Agricultural Machinery Market Size

2.5 Competitive Landscape of China's Autonomous Agricultural Machinery Industry

2.6 China's Agricultural UAV Market Size and Competitive Landscape

2.7 Development Trends of Autonomous Agricultural Machinery

Chapter 3 Smart Agriculture System Solutions and Cases

3.1 Smart Agriculture System Solutions

3.2 Application Scenarios of Smart Agriculture

3.3 Agricultural Custody Service Solutions

3.4 Smart Agriculture Infrastructure

3.5 Huawei

3.6 Meituan

3.7 Tencent

3.8 JD.com

3.9 Baidu

3.10 Alibaba

3.11 Lenovo

3.12 Country Garden

3.13 Bayer

Chapter 4 Autonomous Agricultural Machinery Technology Solutions and Cases

4.1 Introduction to Autonomous Agricultural Machinery Technology Solutions

4.2 Perception Solutions of Autonomous Agricultural Machinery

4.3 Decision-making Solutions of Autonomous Agricultural Machinery

4.4 Action Solutions of Autonomous Agricultural Machinery

4.5 Infrastructure for Autonomous Agricultural Machinery

4.6 Unmanned Farm Projects in China

4.7 Application Scenarios of Autonomous Agricultural Machinery Systems

4.8 Application Summary of Autonomous Agricultural Machinery

Chapter 5 Autonomous Agricultural Machinery Suppliers

5.1 Zoomlion Agriculture Machinery

5.2 Lovol

5.3 FJ DYNAMICS

5.4 YTO Group

5.5 XAG

5.6 DJI

5.7 CNH Industrial

5.8 John Deere

5.9 AGCO Group + Tianjin Ztron Beyond Intelligent Technology

5.10 Iseki

5.11 Kubota

5.12 Yanmar

5.13 Monarch

Chapter 6 Autonomous Agricultural Machinery System Providers

6.1 LIANSHI

6.2 UniStrong

6.3 CHCNAV

6.4 ComNav Technology

6.5 Huida Technology

6.6 Qianxun SI

6.7 Kalman

6.8 Topcon+Xingtu Navigation

6.9 Trimble

6.9 Autonomous Navigation and Driving Systems

For more information about this report visit https://www.researchandmarkets.com/r/theebw

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