Artificial intelligence (AI) in agriculture is used to detect diseases in pests, plants, and poor nutrition in farms. In addition, it assists in providing real-time monitoring of the conditions of water, ambient air and crops, temperature, and harvesting time. AI in agriculture also facilitates farmers in reducing the use of herbicides, pesticides, and fertilizers, increasing farm production, minimizing ranch drudgery, and lowering crop production costs. As a result, AI in agriculture finds widespread applications in precision farming, livestock monitoring, drone analytics, labor management, etc.

We are regularly tracking the direct effect of COVID-19 on the market, along with the indirect influence of associated industries. These observations will be integrated into the report.

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AI in Agriculture Market Trends and Drivers:

The escalating number of farming activities and the shift towards the automation of husbandry exercises, such as plowing, harrowing, planting, harvesting, and tilling, are among the primary factors driving the AI in agriculture market. Besides this, the integration of artificial intelligence in agrarian applications, including livestock monitoring, smart greenhouse, and precision farming for ensuring minimal manual intervention and constant monitoring of crops, is further augmenting the market growth. Moreover, the rising usage of farming robots assists farmers in handling equipment, improving the accuracy of farming, enhancing the quality and efficiency of yield, and minimizing reliance on manual labor, which is also catalyzing the global market. Apart from this, the provision of credit to growers by various financial institutions at low-interest rates for purchasing innovative agricultural machinery incorporated with this technology is acting as another significant growth-inducing factor. Furthermore, the launch of several policies by the government bodies across countries to extensively invest in establishing digital farming infrastructure in rural areas is expected to bolster the AI in agriculture market in the coming years.

AI in Agriculture Market Report Segmentation:

Competitive Landscape:

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.

A.A.A Taranis Visual Ltd., Ag Leader Technology, AgEagle Aerial Systems Inc., Bayer AG, Deere & Company, Gamaya, Granular Inc. (DuPont de Nemours, Inc.), International Business Machines Corporation, Raven Industries Inc., Trimble Inc., Oracle Corporation and Wipro Limited.

The report has been segmented the market into following categories:

Breakup by Offering:

• Software
• Hardware
• AI-as-a-Service
• Services

Breakup by Technology:

• Machine Learning
• Computer Vision
• Predictive Analytics

Breakup by Application:

• Precision Farming
• Agriculture Robots
• Livestock Monitoring
• Drone Analytics
• Labor Management
• Others

By Geography:

• North America: (United States, Canada)
• Asia Pacific: (China, Japan, India, South Korea, Australia, Indonesia, Others)
• Europe: (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
• Latin America: (Brazil, Mexico, Others)
• Middle East and Africa

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