Agricultural robots are becoming accelerators for global agricultural development! Those who win robots will win the world!Some institutions have pointed out that the scale of China’s agricultural robot market may reach 1.146 billion yuan in 2022, and it is expected that the total global agricultural robot market will be about 9.3 billion units by 2025, with a nearly four fold increase to 36 billion units by 2030. The scale of the global agricultural robot market will reach 10 billion US dollars.As is well known, agricultural robots refer to automated robot equipment applied in agricultural production. By using advanced sensors, control systems, and artificial intelligence technology, they can complete various tasks in agricultural production, improve agricultural production efficiency and quality.In terms of application, agricultural robots are robots developed for agricultural work. At present, these robots are mainly used in the harvesting stage. These fully automated robots will drive the overall development of the agricultural industry, reduce human work intensity, reduce labor expenditure and agricultural labor time, and improve work efficiency.Agricultural robots can perform soil exploration, weed control, plant seeding, environmental monitoring, cloud seeding, harvesting, and more. Agricultural robots are equipped with many tools and can perform multiple tasks simultaneously.2. jpg4 major modesDuring the research process, four major development models have been formed for agricultural robots, namely the agricultural robot+model, the agricultural robot farm model, the agricultural robot finance model, and the agricultural robot industry chain model.1) Agricultural robot+modeThe agricultural robot+mode refers to the combination of agricultural robots with other technologies or services to form a more comprehensive solution. For example, combining agricultural robots with drones can achieve intelligent cruising and precise spraying in farmland, improving the growth quality and yield of crops. In addition, combining agricultural robots with big data analysis technology can achieve real-time monitoring and analysis of farmland soil, climate and other data, providing scientific basis for agricultural production. The application of agricultural robots+mode can improve the intelligence level of agricultural production and promote the modernization process of agriculture.2) Agricultural robot farm modelThe agricultural robot farm model refers to the establishment of an agricultural robot farm in agricultural production, achieving centralized management and operation of agricultural robots. Agricultural robot farms can reduce the cost and maintenance expenses of agricultural robots through centralized procurement and unified management. At the same time, agricultural robot farms can also improve the efficiency and yield of agricultural production by optimizing the use plan and task allocation of agricultural robots. The application of agricultural robot farm mode can achieve the large-scale application of agricultural robots and promote the intensive development of agricultural production.3) Agricultural robot finance modelThe agricultural robot finance model refers to supporting the research and development, production, and application of agricultural robots through financial means. The research and production of agricultural robots require a large amount of capital investment, and farmers and agricultural enterprises often find it difficult to bear these costs.Therefore, the agricultural robot finance model can provide financial support for the research and production of agricultural robots through bank loans, equity investments, and other means. At the same time, the agricultural robot finance model can also provide leasing and services of agricultural robots for farmers and agricultural enterprises through financial innovation, reduce the cost of using agricultural robots, and promote the popularization and application of agricultural robots.4) Agricultural robot industry chain modelThe agricultural robot industry chain model refers to the formation of a complete industry chain in the agricultural robot industry, achieving the development of the entire industry chain of agricultural robots. The agricultural robot industry chain includes the research and development, production, sales, and service of agricultural robots. In the agricultural robot industry chain model, various links collaborate with each other to form a virtuous cycle.For example, the research and production of agricultural robots can be adjusted according to market demand, and the sales and service processes can be optimized based on the usage of agricultural robots. The application of the agricultural robot industry chain model can achieve sustainable development of the agricultural robot industry and promote the healthy development of the agricultural robot industry.Through perspective, it is found that the application of these modes can improve the intelligence level of agricultural production, promote the intensive development of agricultural production, provide financial support for the research and production of agricultural robots, and achieve sustainable development of the agricultural robot industry. The widespread application of agricultural robots will bring revolutionary changes to agricultural production and promote the modernization process of agriculture.3. jpg4 major development trendsWith the continuous development of technology and the continuous progress of the agricultural industry, agricultural robots are gradually becoming an important component of agricultural production. The emergence of agricultural robots not only improves agricultural production efficiency, but also reduces the labor intensity of farmers, providing new impetus for the sustainable development of the agricultural industry. In the future development, agricultural robots will present four major trends: agricultural mechanization, informatization, intelligence, and miniaturization.Firstly, the trend of agricultural mechanizationWith the continuous improvement of agricultural mechanization level, traditional agricultural machinery can no longer meet the needs of modern agriculture. The emergence of agricultural robots has filled this gap and can achieve automation and intelligence in agricultural production.For example, autonomous agricultural machinery can automatically complete tasks such as cultivation, seeding, and fertilization based on the terrain of the farmland and the needs of crops, greatly improving the efficiency and quality of agricultural production.Secondly, the trend of informatizationWith the rapid development of agricultural information technology, agricultural robots can obtain real-time data of farmland through sensors, cameras, and other devices, such as soil moisture, temperature, lighting, etc., thus achieving precise management of farmland. Agricultural robots can automatically adjust operational parameters, such as fertilization and irrigation, based on these data to achieve the best agricultural production results. In addition, agricultural robots can also upload data to the cloud through cloud platforms, achieving remote monitoring and management of farmland.Thirdly, the trend towards intelligenceWith the continuous progress of artificial intelligence technology, agricultural robots can have a higher level of intelligence.For example, agricultural robots can learn and recognize the characteristics and needs of different crops through machine learning algorithms, thereby achieving precise management of crops. Agricultural robots can also engage in intelligent dialogue with farmers through human-computer interaction technology, providing advice and guidance on agricultural production. Intelligent agricultural robots will greatly improve the efficiency and quality of agricultural production.Finally, the trend towards miniaturizationAs is well known, traditional agricultural machinery is bulky and heavy, making it unsuitable for operation in narrow farmland. And miniaturized agricultural robots can flexibly shuttle through farmland and complete various agricultural tasks.For example, small drones can patrol and monitor farmland through aerial cameras; Small robots can perform delicate tasks in farmland, such as weeding and spraying pesticides. Miniaturized agricultural robots can not only improve the efficiency of agricultural production, but also reduce damage to farmland.So, agricultural robots will present four major trends: agricultural mechanization, informatization, intelligence, and miniaturization. These trends will drive the rapid development of agricultural robots and provide new impetus for the sustainable development of the agricultural industry. The emergence of agricultural robots will greatly improve the efficiency and quality of agricultural production, bringing better benefits and quality of life to farmers.4. pngCurrent situation of agricultural robotsWith the advancement of agricultural modernization and the development of artificial intelligence technology, agricultural robots have been widely used worldwide. Below are three aspects to introduce the current situation of agricultural robots in the world.1) The application of agricultural robots in farmland management is becoming increasingly widespread.Farmland management is the foundation of agricultural production, and traditional farmland management requires a lot of manpower and time, resulting in low efficiency. The emergence of agricultural robots can achieve automated management of farmland and improve work efficiency. For example, an agricultural robot company in the United States has developed a robot called “Bonirob”, which can use image recognition technology to determine the growth of crops and automatically perform tasks such as weeding and fertilization, greatly reducing the labor burden on farmers.2) Significant progress has also been made in the application of agricultural robots in planting.Planting is the core link of agricultural production, and traditional planting methods require a lot of manual operation, which is prone to errors. Agricultural robots can accurately measure soil moisture, temperature, and other parameters through technologies such as LiDAR and GPS positioning, and plant crops accurately according to their needs. For example, a Japanese agricultural robot company has developed a robot called “Vegebot”, which can use machine vision technology to determine the growth of crops and automatically plant them, greatly improving the accuracy and efficiency of planting.3) The application of agricultural robots in harvesting has also received widespread attention.Traditional harvesting work requires a lot of manpower and time, and is easily affected by factors such as weather. Agricultural robots can recognize the maturity of crops through machine vision technology and automatically harvest them. For example, an agricultural robotics company in the Netherlands has developed a robot called Robodrop, which can use machine vision technology to determine the maturity of crops and automatically harvest them, greatly improving the efficiency and quality of harvesting.In terms of the scope of global agricultural robots, the development of agricultural robots is extremely uneven. Developing countries have already popularized agricultural robots with advanced technology and land systems, while agricultural robots in developing countries are still in their early stages. At that time, there will be huge market space and opportunities.5. jpgFinally, let’s summarize that with the integration of intelligent technology and information technology, agricultural robots will become an indispensable component of agricultural production and management in the next 5-10 years, igniting new changes in agriculture.
No reply content