2023年6月14日

Selbyville、特拉華、2023年6月14日(全球通訊社)——人工智能在農業市場估值預計將達到100億美元,到2032年,在一份研究報告研究公司全球市場的見解。快速增長和采用人工智能(AI)在農業可以歸因於幾個關鍵的司機。首先,全球人口持續增長,對農業生產造成巨大的壓力更多的食物。等人工智能技術和智能精確農業的灌溉係統使農民能夠優化作物產量,減少資源浪費,並使數據驅動決策。利用人工智能算法和機器學習,農民可以分析大量的數據與土壤健康有關,天氣模式,和作物特性,提高生產率和降低成本。其次,可持續發展和環保實踐的必要性已成為首要任務。AI在農業支持的實現精準農業技術,減少水的使用,農藥、肥料的精確瞄準他們的應用程序。這樣可以減少對環境的負麵影響,降低生產成本,並提高盈利能力。這些因素正在重塑農業產業,促進效率、可持續性、和盈利能力通過采用AI-driven解決方案。請求一個樣本的研究報告@ https://www.gminsights.com/request-sample/detail/5856的AI在農業市場服務部分將見證健康成長到2032年。 AI is driving significant advancements in agriculture services, revolutionizing the way farming is conducted. Through machine learning and data analytics, AI enables the development of predictive models for crop management, pest control, and yield optimization. This technology also enables the automation of various agricultural tasks, including planting, harvesting, and monitoring, through the use of robotics and autonomous vehicles. The AI in agriculture market from the predictive analysis segment is projected to record significant growth from 2023 to 2032. Predictive analysis plays a crucial role in agriculture by leveraging data and AI algorithms to make accurate forecasts and informed decisions. By analyzing historical and real-time data, predictive analysis can help analyze crop yields, disease outbreaks, optimal planting and harvesting times. This information enables farmers to optimize resource allocation, improve crop management practices, and mitigate risks. Overall, predictive analysis empowers farmers with actionable intelligence, enhancing productivity, sustainability, and profitability in the agricultural sector. The AI in agriculture market from the crop and soil monitoring segment is estimated to grow at a robust pace between 2023 and 2032. AI brings significant improvements to crop and soil monitoring in agriculture. Through the integration of sensors, drones, and satellite imagery, AI enables real-time and accurate data collection on crop health, soil moisture, nutrient levels, and pest infestations. AI algorithms analyze this data to identify patterns, anomalies, and potential risks. With the aid of computer vision, AI can detect and diagnose crop diseases and nutrient deficiencies, allowing for timely interventions. Asia Pacific AI in agriculture market will expand considerably up to 2032, Governments, research institutions, and industry players are collaborating to drive innovation and technology adoption. Initiatives such as funding programs, research grants, and policy support are encouraging the development and deployment of AI solutions in agriculture. Countries like China, India, Japan, and Australia are investing in AI-driven projects, including precision farming, crop monitoring, and smart irrigation systems. Additionally, knowledge-sharing platforms, conferences, and workshops are fostering awareness and knowledge exchange among stakeholders. These collective efforts are propelling the growth of the AI in agriculture industry in the region. Make an inquiry for purchasing this report @ https://www.gminsights.com/inquiry-before-buying/5856 Some of the leading players in the AI in agriculture market are Climate LLC (The Climate Corporation), Microsoft Corporation, (Cainthus Corp) Ever.Ag, IBM Corporation, PrecisionHawk Inc, aWhere Inc., (Prospera Technologies) Valmont Industries, Inc, Corteva Agriscience, Deere & Company, Tule, Vineview, Taranis, and Descartes Labs, Inc. Partial chapters of report table of contents (TOC): Chapter 2 Executive Summary 2.2 Business trends 2.3 Regional trends