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The Global Artificial Intelligence in Agriculture Market has been segmented based on the offering, technology, application, and region. Based on the offering, the market is categorized into hardware, software, ai-as-a-service, and service.
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Artificial Intelligence in Agriculture Market
The primary objective of the market report by GMI Research is to help the users understand the market scenario in terms of its definition, segmentation, drivers, opportunities, market trends, and the challenges that the market is facing. This report focuses on the market, especially in North America, Europe, Asia-Pacific, and the rest of the world.
Key Drivers of the Artificial Intelligence in Agriculture Market The strong demand for agriculture production due to the growing population rate, increasing implementation of information management systems and advanced technologies for enhancing crop productivity, and the rising number of government initiatives are the significant factors contributing to the growth of the artificial intelligence (AI) in agriculture market. AI-enabled applications help to control pests, enhances the quality of crops, monitor the soil, and improve agriculture-associated tasks in the complete food supply chain. Moreover, the increasing adoption of Internet of Things and AI technologies such as computer vision, machine learning, predictive analytics, and deep learning to asses temperature, soil moisture, plant health, weather conditions, and other functions, are further surging the growth of the global artificial intelligence in agriculture market.
Artificial intelligence helps in enhancing yield quality and decreases the labor cost, which is further accelerating the demand for global artificial intelligence in agriculture market. The start-ups in agriculture are increasingly adopting AI-enabled methodology to improve the efficiency of agricultural production. Applying AI-enabled approaches helps in identifying different diseases or climatic changes more accurately and quickly. The combination of these factors will drive the growth of the market. The major factors that are restraining the growth of the market include the high cost related to the collection of precise field data.
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