August 2023 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
The Indian Agricultural Research Institute conducted a study to address the challenges faced by agricultural systems and food security due to urbanization, land degradation, water scarcity, and climate change. They focused on the potential of digital agriculture, which involves the use of smart systems and advanced farming practices incorporating Artificial Intelligence (AI) and Internet of Things (IoT) technologies, to provide sustainable solutions.
Using a bibliometric analysis of 436 English language articles published between 1991 and 2021, the study examined the recent pulse and trends in AI and IoT-assisted land and water management (LWM) research. The analysis revealed a significant increase in research activity from 2010 onwards, with over 60 AI techniques employed in various AI and IoT frameworks for LWM. The study identified key AI techniques like Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, Support Vector Regression, Random Forest, and Multilayer Perceptron-ANN as highly adopted methods.
China, India, Iran, Australia, and the USA emerged as pioneers in the field, while Italy, Spain, and Saudi Arabia showed potential as emerging countries with low collaboration links. The study also highlighted the current limitations and challenges of AI and IoT technologies in this domain.
Based on their findings, the researchers recommended future research areas for AI and IoT, including conducting comparative evaluations of AI techniques to determine the most effective approaches for specific LWM domains.
Keyword co-occurrence decadal analysis for the period of 1991–2010 and 2011–2021