Transforming Global Agriculture with Robotics, AI and Deep Analytics
Year: 2024
Type: article
Abstract: The global agriculture sector faces immense pressure to sustainably meet the food demands of an increasing global population, which is projected to reach nearly 10 billion by 2050. Key challenges—ranging from labor shortages and resource limitations to unpredictable climate impacts—intensify the need for a tech-driven transformation. Robotics, artificial intelligence (AI), and deep analytics offer powerful tools to address these issues, enabling precision farming, optimized supply chains, and reduced food waste. However, adopting these technologies necessitates a re-skilled and tech-savvy workforce capable of managing the advanced systems central to modern agriculture. This article explores the application of robotics and AI in five nations—the United States, India, the Netherlands, Japan, and Brazil. Each case demonstrates the unique ways these technologies address agricultural demands while also underscoring the critical need for upskilling workers to harness their full potential.
Author: Roy, Dr. Nilesh
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6893141386
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