- (PDF) Optimizing Agricultural Data Analysis Techniques through AI . . .
This paper delves into the integration of advanced technologies in agriculture, focusing specifically on optimizing data analysis through artificial intelligence (AI) to strengthen
- Optimizing Agricultural Data Analysis Techniques through AI-Powered . . .
We present a novel AI-powered model that leverages historical agricultural datasets, utilizing a comprehensive array of established machine learning algorithms to enhance the prediction and classification of agricultural data
- Big Data in Agriculture (BDA)
AI technologies, including machine learning, computer vision, and precision agriculture, are explored This review highlights the significant potential of AI to improve agricultural productivity, efficiency, and sustainability
- March 2025 AI in Agriculture: Opportunities, Challenges, and . . .
G, L O TEDESCHI, J VITALE, AND X YE I Introduction to AI in Agriculture Artificial intelligence (AI) is the most discussed technolo-gy of the current age and is rapidly being integrated into people’s lives, reshaping industries and enabl
- The Role of Artificial Intelligence in Agriculture: A Comprehensive Review
This comprehensive review examines the role of AI in various agricultural practices, including precision farming, crop management, soil health monitoring, pest control, and predictive analytics
- Artificial intelligence in agriculture: Advancing crop productivity and . . .
With the exponential growth of agricultural data, machine learning models are becoming increasingly important in the processing of data and actionable insights derived to improve crop yields and operational costs, including supporting sustainable agriculture
- AI and Data Analytics in Precision Agriculture for . . . - Springer
This book explores how big data analytics, machine learning, and artificial intelligence can improve crop management, soil health, water use, and pest control
- The innovative applications and prospects of artificial intelligence in . . .
Specifically, the article will introduce foundational AI technologies, including machine learning, data analysis, computer vision, and robotics, and explore their practical applications in agricultural gene editing, crop improvement, and data analysis
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