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

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.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/iccubea61740.2024.10775074
Citations
4
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.11
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article

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

Junzo Watada, Usman Ahmad Usmani, Suliana Sulaiman
4 citations
Big Data and Business Intelligence
2.11
article

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

Junzo Watada, Usman Ahmad Usmani, Suliana Sulaiman
article en
4 citations

Abstract

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.

Sultan Idris Education University (MY), Waseda University (JP)
Zero hunger
Openalex Percentile: Top 10%
Big Data and Business Intelligence
2.11
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