Smart aquaculture analytics: Enhancing shrimp farming in Bangladesh through real-time IoT monitoring and predictive machine learning analysis

F Ahmed, MHI Bijoy, HR Hemal, SRH Noori - Heliyon, 2024 - cell.com
Water quality is a critical factor in shrimp farming, and the success of shrimp production is
closely tied to the overall condition of the water. Challenges such as rapid population …

Will artificial intelligence and machine learning change agriculture: A special issue

DE Clay, S Brugler, B Joshi - Agronomy Journal, 2024 - Wiley Online Library
In agriculture, important unanswered questions about machine learning and artificial
intelligence (ML/AI) include will ML/AI change how food is produced and will ML algorithms …

Predicting herbage biomass on small‐scale farms by combining sward height with different aggregations of weather data

L Scheurer, J Leukel, T Zimpel, J Werner… - Agronomy …, 2024 - Wiley Online Library
Accurate predictions of herbage biomass are important for efficient grazing management.
Small‐scale farms face challenges using remote sensing technologies due to insufficient …

[HTML][HTML] Advancing agriculture with machine learning: a new frontier in weed management

M MEHDIZADEH, DKA AL-TAEY… - Frontiers of …, 2024 - journal.hep.com.cn
● Machine learning offers innovative and sustainable weed management approaches.●
Herbicide use and environmental impact can be reduced through machine learning.● …

Decision support prototype for farmers based on environmental parameter modelling through supervised machine learning

M Lămăşanu, DI Săcăleanu, IP Manciu… - 2024 IEEE 30th …, 2024 - ieeexplore.ieee.org
Supervised machine learning models are increasingly prevalent across a wide range of
domains. Farming, a fundamental means of subsistence throughout human history, is no …