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AI-DRIVEN PRECISION AGRICULTURE: TECHNOLOGIES, OPPORTUNITIES, AND BARRIERS TO ADOPTION

Field of Science:Artificial IntelligenceComputational Theory and MathematicsComputer Graphics and Computer-Aided DesignComputer Networks and CommunicationsInformation SystemsSignal ProcessingSoftware
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This article explores the integration of AI into modern farming practices, including predictive analytics, precision agriculture, crop monitoring, smart irrigation, pest and disease detection, and automation through robotics and drones. Results show that AI-driven technologies can significantly increase productivity, reduce labor dependency, and minimize environmental impact. However, adoption faces challenges such as high initial costs, limited farmer awareness, infrastructure gaps, and regulatory concerns. Despite these barriers, AI holds immense potential to reshape agriculture by enabling data-driven decision-making, sustainable resource management, and resilient food systems for the future

AUTHORS

X.Abasxanova

"MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI" DAVLAT MUASSASASI

D.Akbarxonova

"MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI" DAVLAT MUASSASASI

Tags

# artificial# intelligence# monitoring# security# management# irrigation# sustainability# smart# robotics# agriculture# precision# farming# crop# predictive# analytics# agricultural# food# farm

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References

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