Introduction
The incorporation of Artificial Intelligence (AI) into agriculture marks a paradigm shift, offering innovative solutions to meet the increasing global food demand. This integration is not just a technological advancement; it’s a necessity for sustainable agriculture and food security.
Key Insights from Recent Research
- AI-Driven Agricultural Revolution: AI technologies, including robotics and drones equipped with sensors, are revolutionizing agriculture. They enhance crop yield by addressing climate change, population growth, and food security issues (Patel & Patil, 2022).
- Smart Agriculture for Climate Resilience: Technologies like IoT and Big Data are integral to Smart Agriculture (SA) and Climate Smart Agriculture (CSA), improving crop health and ensuring food safety (Gulzar, Abbas, & Waqas, 2020).
- Technological Adaptation in Farming: AI, IoT, and Robotics in farming offer high productivity, functional efficiency, and cost-effectiveness, addressing the challenges of food security due to the population explosion (Hasan, Islam, & Sadeq, 2022).
- Enhancing Rice Farming with Smart Technology: In Malaysia, the adoption of smart farming technologies in rice production is seen as vital for achieving food security and improving farmers’ well-being (Zaman et al., 2023).
- Mechatronics and Automation in Sustainable Farming: The use of AI, Machine Learning (ML), IoT, and other technologies in mechatronic farm automation significantly increases production efficiency and contributes to sustainable food security (Ontiri & Amuhaya, 2022).
Conclusion
The integration of Artificial Intelligence in agriculture is not just a futuristic vision but a present reality. It offers a beacon of hope for addressing global food security challenges. With AI, we are stepping into an era of high-efficiency farming, ensuring that we can meet the food needs of our growing population sustainably.