Quantum Computing Transforming Science and Society with Applications Challenges and Future Pathways

Artificial Intelligence (AI) has emerged as a transformative force across scientific domains and agriculture is no exception. From precision farming and crop disease prediction to autonomous machinery and sustainable resource use, AI-driven innovations are redefining food production and security. Current applications of AI in agricultural science are explored, with a focus on real-world implementations, the challenges of ethics, accessibility and data privacy and the future pathways that integrate AI with emerging technologies such as IoT, drones, blockchain and CRISPR.