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Use Cases of AI and ML in Agriculture - Zemelak Goraga - Bog

Bag om Use Cases of AI and ML in Agriculture

" Use Cases of AI and ML in Agriculture: Smart Project Ideas" is a cutting-edge guide that unveils the transformative power of data science in the realm of agriculture. This comprehensive book bridges the gap between traditional farming practices and modern data-driven solutions, offering a wealth of knowledge, methodologies, and practical Python codes to revolutionize the agricultural landscape. Explore how data science can automate crop monitoring, optimize irrigation, predict climate changes, manage crop diseases, and maximize resource utilization. Dive into the world of bioinformatics and discover how genomics, predictive breeding models, and AI-driven solutions are shaping the future of crop improvement. With real-world examples and hands-on Python codes, this book empowers agricultural professionals, data scientists, researchers, and students to apply data-driven techniques to enhance productivity, sustainability, and resilience in agriculture. "Use Cases of AI and ML in Agriculture: Smart Project Ideas" is the essential resource for those eager to leverage data science to ensure food security, mitigate climate-related challenges, and drive innovation in agriculture.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798223321002
  • Indbinding:
  • Paperback
  • Sideantal:
  • 220
  • Udgivet:
  • 29. november 2023
  • Størrelse:
  • 216x13x280 mm.
  • Vægt:
  • 566 g.
  • 2-3 uger.
  • 2. december 2024
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Beskrivelse af Use Cases of AI and ML in Agriculture

" Use Cases of AI and ML in Agriculture: Smart Project Ideas" is a cutting-edge guide that unveils the transformative power of data science in the realm of agriculture. This comprehensive book bridges the gap between traditional farming practices and modern data-driven solutions, offering a wealth of knowledge, methodologies, and practical Python codes to revolutionize the agricultural landscape.
Explore how data science can automate crop monitoring, optimize irrigation, predict climate changes, manage crop diseases, and maximize resource utilization. Dive into the world of bioinformatics and discover how genomics, predictive breeding models, and AI-driven solutions are shaping the future of crop improvement. With real-world examples and hands-on Python codes, this book empowers agricultural professionals, data scientists, researchers, and students to apply data-driven techniques to enhance productivity, sustainability, and resilience in agriculture.
"Use Cases of AI and ML in Agriculture: Smart Project Ideas" is the essential resource for those eager to leverage data science to ensure food security, mitigate climate-related challenges, and drive innovation in agriculture.

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