Synergizing Environmental Computing, Agricultural Engineering, and AI for Sustainable ICT Applications in Agriculture

• Published in: International Conference on Computing Communication Control and Automation (Online) pp. 1 - 7
• Main Authors: Usmani, Usman Ahmad, Sulaiman, Suliana, Watada, Junzo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23.08.2024
• Subjects: Agricultural engineering; Agriculture; Artificial intelligence; Artificial Intelligence (AI); Environmental Computing; Farming; Precision farming practices; Productivity; Resilience; Resource management; Satellite images; Sustainable ICT applications; Technological innovation; Uncertainty
• ISSN: 2771-1358
• DOI: 10.1109/ICCUBEA61740.2024.10775074

This conference paper delves into the transformative synergy of Environmental Computing, Agricultural Engineering, and Artificial Intelligence (AI) to forge sustainable ICT applications in agriculture. By amalgamating these domains, the paper unravels how AI-driven insights are harnessed to optimize resource allocation, mitigate environmental impact, and empower precision farming practices. This fusion not only enhances agricultural productivity and efficiency but also lays the foundation for ecologically mindful agricultural activities. The integration of AI further enriches Agricultural Engineering's potential by enabling data-driven decision-making through sensor data analysis, satellite imagery, and climate models, thus fostering resilience and productivity across the agricultural value chain. In sum, this exploration underscores the pivotal role of AI in shaping a sustainable future for ICT applications in agriculture through the harmonious interplay of Environmental Computing and Agricultural Engineering.