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BENGALURU, India, Oct. 19, 2023 /PRNewswire/ — The agricultural artificial intelligence (AI) market is segmented by type (machine learning, computer vision, predictive analytics) and by application (precision agriculture, livestock monitoring, drone analytics, agriculture). Robots, Others): Global Opportunity Analysis and Industry Forecast, 2023-2029.
The global artificial intelligence (AI) market in agriculture was valued at $681. 7 million in 2022 and is expected to reach $1,695. 5 million by 2029, growing at a CAGR of 16. 4% for the forecasted period 2023-2029.
Key Factors Driving the Growth of AI in the Agricultural Market
Agriculture and Artificial Intelligence (AI) The increasing use of robots in agriculture is expanding the length of the market. One of the main elements driving the need for robots in agriculture would be the increase in demand for agricultural production and the increase in consumption.
Growing customer demand is pushing farmers to expand their operations, creating a need for automation. Drones and robots are becoming a must-have aspect of farms as farmers move toward automation. They increase production and product quality. With synthetic intelligence ( With AI being the foundation of robotics, the increasing use of robots in agriculture is expected to drive the expansion of AI in the agricultural market.
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TRENDS INFLUENCING THE GROWTH OF AI IN THE AGRICULTURAL MARKET
By combining smart technologies such as AI, Big Data, cloud, IoT, and device learning, we can imagine AI transforming rural farmland into smart, connected farms, or what we call precision farming. Its uses are numerous, ranging from tracking ripening cycles from apples or tomatoes to identifying drought patterns and creating smart tractors that eliminate bad and diseased plants. Even today, drones are widely used in agriculture for a variety of purposes, adding soil moisture monitoring, detection of production problems, safety, rescue, and analysis of studies. This is expected to drive the expansion of AI in the agricultural market.
In addition to helping deliver micro and macronutrients and determine physical attributes such as moisture and chemical values, these smart drones can also locate and spray insecticides on broken plants from large farmland. They can even balance pH levels by injecting lime. The device’s learning application combined with precision farming makes it less difficult to stumble upon matching cases. You can identify the disease that has damaged a plant, compare it to a catalog of photographs of that disease, propose corrective actions, and so on. This will hopefully drive the expansion of AI in the agricultural market.
Those who prioritize their farms and incorporate AI generation into their farming operations will definitely have a huge advantage. Large agricultural farms are used as transit sites for multiple knowledge issues, and accurate and applicable data is collected from those knowledge issues as well as from various devices. such as drones, sensors, smart cameras, etc. , powered by intelligent monitoring and analytics systems, which ultimately help provide farmers with smart information. This is expected to drive the expansion of AI in the agricultural market.
The procedure of integrating AI into the monitoring of the physical condition of livestock begins with the installation of the necessary cameras and sensors in the animals’ homes. This apparatus is used to collect data on the animals, aggregating their behavior, frame temperature, and core velocity. Drones can monitor farms normally, as they can fly over them independently and without interruption. Artificial intelligence has the ability to autonomously detect certain plant diseases, nutritional deficiencies, or stressors, allowing professionals to administer targeted treatments when needed. This automatic tracking minimizes waste, reduces the need for chemicals, and encourages the use of sustainable farming methods. This is expected to drive the expansion of AI in the agricultural market.
As the world’s food desires increase, artistic tactics for farming operations are emerging. The new high-tech workforce in agriculture is here: robots. These adaptable devices are capable of performing a variety of tasks, adding soil testing, insect management, and planting. and irrigation. Farmers can take advantage of lower labor costs, higher production, and less need for hazardous chemicals by automating those procedures. In addition, it is clear that the future of agriculture will be based on smarter agriculture, given the additional advantages. to gather applicable knowledge to optimize crop yields and resource management. This is expected to drive the expansion of AI in the agricultural market.
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ANALYSIS OF THE MARKET SHARES OF AI IN AGRICULTURE
The market for synthetic intelligence in agriculture is governed by the entire North American continent, especially the United States. The expansion of the disposable revenue source and continued investment in generation corporations are its defining characteristics, driving the expansion of this sector.
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Key Companies:
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Society
mavrx
where
Precision Falcon
Granular
Thriving Technologies
Spensa Technologies
Resson
Robotic Vision
Croo Robotics Harvest
CultivationX
John Deere
Gamaya
Cainto
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