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Innovations and Challenges in Agriculture through Technology Disruptions
Louise Reader
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The book integrates computational intelligence, applied artificial intelligence, and modern agricultural practices and will appeal to scientists, agriculturists, and those in plant and crop science management.
There is a need for synergy between the application of modern scientific innovation in the area of artificial intelligence and agriculture, considering the major challenges from climate change consequences viz. rising temperatures, erratic rainfall patterns, the emergence of new crop pests, drought, flood, etc. This volume reports on high-quality research (theory and practice including prototype & conceptualization of ideas, frameworks, real-world applications, policy, standards, psychological concerns, case studies, and critical surveys) on recent advances toward the realization of the digital agriculture revolution as a result of the convergence of different disruptive technologies.
The book touches upon the following topics which have contributed to revolutionizing agricultural practices.
Audience
Researchers in computer science, artificial intelligence, electronics engineering, agriculture automation, crop management, and science.
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