In this study, we conducted a scoping review and bibliometric analysis to evaluate the state-
of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies to …

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Background: Spine trauma, vertebral metastases, and osteoporosis (SVO) can result in
serious health problems. If the diagnosis of SVO is delayed, the prognosis may be …

The challenges of urbanization, land degradation, water scarcity, and climate change are
threatening agricultural systems and food security. Therefore, it is essential to manage land …

The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …

Artificial intelligence (AI) as a simulation approach is increasingly being used in precision
agriculture. The current study evaluated the performance of five methods for estimating …

Deep learning is an emerging data analytic tool that can improve predictability, efficiency
and sustainability in agriculture. With a bibliometric analysis of 156 articles, we show how …

Artificial Intelligence (AI) has grown and taken up challenging environmental issues. This
technology helps accomplish sustainable development goals by helping us develop more …

Research background: Although agricultural competitiveness is not a new topic, it is worth
noting that it has recently come back to the attention of researchers due to various factors …

Emerging technologies associated with Artificial Intelligence (AI) have enabled
improvements in global food security situations. However, there is a limited understanding …