Use Cases of AI and ML in Agriculture - Goraga, Zemelak
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" 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…mehr

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Produktbeschreibung
" 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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Autorenporträt
The author of "Data and Analytics in School Education" is a PhD holder, an accomplished researcher and publisher with a wealth of experience spanning over 12 years. With a deep passion for education and a strong background in data analysis, the author has dedicated his career to exploring the intersection of data and analytics in the field of school education. His expertise lies in uncovering valuable insights and trends within educational data, enabling educators and policymakers to make informed decisions that positively impact student learning outcomes. Throughout his career, the author has contributed significantly to the field of education through his research studies, which have been published in renowned academic journals and presented at prestigious conferences. His work has garnered recognition for its rigorous methodology, innovative approaches, and practical implications for the education sector. As a thought leader in the domain of data and analytics, the author has also collaborated with various educational institutions, government agencies, and nonprofit organizations to develop effective strategies for leveraging data-driven insights to drive educational reforms and enhance student success. His expertise and dedication make him a trusted voice in the field, and "Data and Analytics in School Education" is set to be a seminal contribution that empowers educators and stakeholders to harness the power of data for educational improvement.