Tags
Language
Tags
July 2025
Su Mo Tu We Th Fr Sa
29 30 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31 1 2
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    KoalaNames.com
    What’s in a name? More than you think.

    Your name isn’t just a label – it’s a vibe, a map, a story written in stars and numbers.
    At KoalaNames.com, we’ve cracked the code behind 17,000+ names to uncover the magic hiding in yours.

    ✨ Want to know what your name really says about you? You’ll get:

    🔮 Deep meaning and cultural roots
    ♈️ Zodiac-powered personality insights
    🔢 Your life path number (and what it means for your future)
    🌈 Daily affirmations based on your name’s unique energy

    Or flip the script – create a name from scratch using our wild Name Generator.
    Filter by star sign, numerology, origin, elements, and more. Go as woo-woo or chill as you like.

    💥 Ready to unlock your name’s power?

    👉 Tap in now at KoalaNames.com

    Machine Learning and Artificial Intelligence for Agricultural Economics (Repost)

    Posted By: AvaxGenius
    Machine Learning and Artificial Intelligence for Agricultural Economics (Repost)

    Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide by Chandrasekar Vuppalapati
    English | EPUB | 2021 | 611 Pages | ISBN : 3030774848 | 160.5 MB

    This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.
    The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.
    Without You And Your Support We Can’t Continue
    Thanks For Buying Premium From My Links For Support