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Artificial Intelligence in Agriculture Market - A Global and Regional Analysis

Focus on Product, Application, Supply Chain Analysis, and Country Analysis - Analysis and Forecast, 2022-2027

 
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Frequently Asked Questions

The use of AI solutions in the agricultural industry is known as artificial intelligence (AI) in agriculture. AI technology aids farmers in a number of ways, including the control of pests, soil monitoring, and plant disease detection. By identifying weeds, selecting their targets, and determining which herbicide to use in a particular area, it can also help reduce the use of herbicides and save money. Machine learning, remote sensing, satellite imagery, and other AI technologies are being used by agricultural systems and engineering to monitor crops and soil. In essence, AI simulates human thought processes and uses data to learn and solve problems.

The artificial intelligence in agriculture market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. According to BIS Research analysis, most of the companies preferred partnerships, collaborations, and joint ventures as a strategy to further increase their growth in the global artificial intelligence in agriculture market. Companies such as Microsoft Corporation, IBM Corporation, Climate LLC, CNH Industrial N.V., Deere & Company have majorly adopted partnerships, collaborations, and joint ventures as strategies.

A new entrant can focus on yield monitoring application-based products due to high consumer demand and the increasing need for automated systems and devices for yield monitoring and crop growth assessment.

• Extensive competitive benchmarking of the top 15 players, including Alibaba Group Holding Limited, Aquabyte, DJI, Granular Inc. IBM Corporation, Microsoft Corporation, and others to offer a holistic view of the artificial intelligence in agriculture market landscape 
• Market ranking analysis based on product portfolio, recent developments, and regional spread 
• Investment landscape, including product adoption scenario, funding, and patent analysis

The companies that manufacture agriculture products based on AI technologies, as well as agricultural Original Equipment Manufacturers (OEMs), agronomists, research institutions, and regulatory bodies, should buy this report.

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