[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications
J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …
[HTML][HTML] Role of AI and IoT in Advancing Renewable Energy Use in Agriculture
M Morkūnas, Y Wang, J Wei - Energies, 2024 - mdpi.com
This paper discusses how integrating renewable energy, AI, and IoT becomes important in
promoting climate-smart agriculture. Due to the changing climate, rise in energy costs, and …
promoting climate-smart agriculture. Due to the changing climate, rise in energy costs, and …
[HTML][HTML] Field scale wheat yield prediction using ensemble machine learning techniques
Wheat is crucial for global food security and plays significant role in achieving United
Nations Sustainable Development Goal 2 (Zero Hunger). In India, wheat accounts for 33.5 …
Nations Sustainable Development Goal 2 (Zero Hunger). In India, wheat accounts for 33.5 …
[PDF][PDF] Artificial intelligence on the agro-industry in the United States of America.
Artificial intelligence on the agro-industry in the United States of America Page 1 AIMS Agriculture
and Food, 9(4): 959–979. DOI: 10.3934/agrfood.2024052 Received: 11 June 2024 Revised:13 …
and Food, 9(4): 959–979. DOI: 10.3934/agrfood.2024052 Received: 11 June 2024 Revised:13 …
[HTML][HTML] Integrated internet of things (IoT) solutions for early fire detection in smart agriculture
The integration of internet-of-things (IoT) technologies is proving crucial for optimizing crop
management and monitoring in smart farming. The challenges posed by climate change …
management and monitoring in smart farming. The challenges posed by climate change …
Shock or empowerment? Artificial intelligence technology and corporate ESG performance
Artificial intelligence (AI) plays a significant role in realizing sustainable economic
development. This paper uses the textual content of annual reports of listed companies to …
development. This paper uses the textual content of annual reports of listed companies to …
End-users' acceptance of'X as a Service': Evidence from agriculture 4.0
With the rapid advancement of information technology, a new service model known as X as
a Service has emerged. X can represent diverse resources such as platforms, infrastructure …
a Service has emerged. X can represent diverse resources such as platforms, infrastructure …
[HTML][HTML] Analyzing the relationship between agricultural AI adoption and government-subsidized insurance
Due to the increased unpredictability and severity of weather patterns caused by climate
change, traditional farming practices and risk management strategies are becoming …
change, traditional farming practices and risk management strategies are becoming …
Synergistic approaches of AI and NMR in enhancing food component analysis: A comprehensive review
R Cao, J Li, H Ding, T Zhao, Z Guo, Y Li, X Sun… - Trends in Food Science …, 2024 - Elsevier
Background The integration of artificial intelligence (AI) with nuclear magnetic resonance
(NMR) spectroscopy is emerging as a transformative approach in food component analysis …
(NMR) spectroscopy is emerging as a transformative approach in food component analysis …
[HTML][HTML] Integrating AI in food contaminant analysis: Enhancing quality and environmental protection
S Kuppusamy, M Meivelu, L Praburaman… - Journal of Hazardous …, 2024 - Elsevier
This paper marks a groundbreaking step toward ensuring food safety by applying artificial
intelligence (AI) in the detection of food contaminants. It argues that AI offers a significant …
intelligence (AI) in the detection of food contaminants. It argues that AI offers a significant …