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Annals of Horticulture
Year : 2023, Volume : 16, Issue : 1
First page : ( 72) Last page : ( 79)
Print ISSN : 0974-8784. Online ISSN : 0976-4623.
Article DOI : 10.5958/0976-4623.2023.00014.2

Artificial intelligence in horticulture crops

Kumar Vipin, Jakhwal Riya*, Chaudhary Neha, Singh Sudhanshu

Vegetable Science, College of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, Uttar Pradesh, India

*Corresponding Author E-mail- riyajakhwal1997@gmail.com

Online published on 2 December, 2023.

Abstract

Artificial intelligence is the process by which humans create intelligent machines. It falls under the broad category of computer science that emphasizes the development of physical and intangible systems that not only behave intelligently but also exhibit behavior on a par with how people think and behave, achieving human-like performance in all cognitive tasks through the use of only logical reasoning. AI having wide application in horticulture; By this we can detect diseases, enhance the yield, can control the weed, detect the required nutrient to the plant, by this we can control the use of fertilizers .Learning from prior data and making rapid, efficient decisions are the fundamental building blocks of AI. A part of artificial intelligence called machine learning is where the tools are developed. For the purpose of determining the most mature fruits or vegetables an AI-based automatic method has been created and developed. This method uses an algorithm based on computer vision and machine learning that uses Hear-like features. AI technology is quickly fixing the issues and advising precise steps that need be taken to solve them. AI is effective at keeping track of information and promptly finding solutions. The digital transformation of the agriculture and horticulture sector offers both producers and consumers enormous potential. The next great agricultural and farming revolution is about to begin thanks to the introduction of digital agriculture, industrialization and mechanization of production processes, networking, and data management.

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Keywords

AI (Artificial Intelligence), Digital agriculture and Industrialization.

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