Keywords
Artificial Intelligence, Machine Learning, Computer Vision, Agriculture Sector
Abstract
Today, Artificial intelligence (AI) is one of the most important technologies shaping the future of society. AI is widely used in the agriculture sector to improve productivity, efficiency and sustainability. The growth of AI in agriculture sector is expected to continue at a rapid pace by introducing smart, data driven solutions such as Machine Learning, Computer Vision, Robotics and Predictive analytics to long standing challenges in food production and security in the face of population growth and climate change, high costs, digital literacy gaps, the need for a skilled workforce, sustainability and resource management. AI powered systems are enhancing real time monitoring and decision-making capabilities. Further, AI contributes to supply chain efficiency, precision farming, soil monitoring, smart irrigation and risk management. The AI innovations of IBM Watson decision platform for agriculture, Cropin, CropX, Onesoil, Arable, Prospera, FarmBot, John Deere see & spray, Blue River Technology, DJI agras drone, Carbon Robotics Laser Weeder, Monarch Tractor, plantix, Taranis, PEATs, AgriBazaar AI tools, Farm sense, Intello labs, clarifruit, eVersi.AI, Cainthus etc., help farmers to optimise inputs, reduce costs and increase productivity by minimising environmental impact. All in all, AI is highly promising to implement in modern agriculture, making it more sustainable, productive and resilient for the future.
IJCRT's Publication Details
Unique Identification Number - IJCRT2509231
Paper ID - 293533
Page Number(s) - b903-b907
Pubished in - Volume 13 | Issue 9 | September 2025
DOI (Digital Object Identifier) -    https://doi.org/10.56975/ijcrt.v13i9.293533
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
  K. Sai Saathvika,  Dr. K. Sankar Reddy,   
"The Applications Of Artificial Intelligence In Agricultural Sector", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 9, pp.b903-b907, September 2025, Available at :
http://www.ijcrt.org/papers/IJCRT2509231.pdf