A plethora of artificial intelligence services such as recommendation engines, predictive analytics, computer vision, coupled with IoT devices can significantly boost agricultural productivity. The technology is an application under machine learning development services can display stats remotely via a smartphone or similar device, allowing farmers to see instant alerts about what’s happening in their fields, whether it has to do with pests, disease, or something else.
Learn more: Artificial Intelligence in Agriculture and Farming
COVID-19 Impact Analysis on Artificial Intelligence in Agriculture Market report published by Value Market Research provides a detailed market analysis comprising market size, share, value, growth and trends for the period 2019-2027.
The report encompasses data regarding market share and recent developments by key players.
Moreover, this market report also covers regional and country markets in detail.The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide.
The major players in the Artificial Intelligence in Agriculture include Microsoft, Integrated IBM Corporation, Deere & Company, The Climate Corporation, AgEagle, Aerial Systems Inc., Granular, Inc., Tule Technologies Inc, Descartes Labs, Inc., Prospera Technologies, Taranis, aWhere Inc., GAMAYA, ec2ce, PrecisionHawk, VineView.
This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.Get more information on "Global Artificial Intelligence in Agriculture Research Report" by requesting FREE Sample Copy at https://www.valuemarketresearch.com/contact/artificial-intelligence-in-agriculture-market/download-sampleMarket SegmentationThe broad Artificial Intelligence in Agriculture has been sub-grouped into the Component, Technology, Application and Region.
The report studies these subsets with respect to the geographical segmentation.
Global agriculture industry has undergone significant and dynamic changes in the past decades, specifically with the introduction of technologies introduced to improve crop yield.
With the increase in world population leading to the rise in the global demand for food, growers are prompted to adopt the most advanced and productive methods in farming operations to increase crop yield.
Introduction of precision agriculture technologies has also resulted in the creation of hundreds of thousands of data points on farms.
The rise in these data points has enabled data-driven farming, aiding the growers and consumers of agriculture products with insight-backed decision-making.
To navigate through these big data in farms and to attain efficient farming solutions, the industry is bringing about significant product innovations in farm data analysis using the artificial intelligence technology.Artificial intelligence technology brings the concept of cognitive computing to agriculture where the farm equipment intelligence is modeled on human intelligence.
Artificial intelligence technologies help farmers in optimizing their planning to generate profitable crop yields using predictable analytics for agri-input choices and farm process planning.