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Smart aquaculture analytics: Enhancing shrimp farming in Bangladesh through real-time IoT monitoring and predictive machine learning analysis
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 …
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
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 …
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
Accurate predictions of herbage biomass are important for efficient grazing management.
Small‐scale farms face challenges using remote sensing technologies due to insufficient …
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
● Machine learning offers innovative and sustainable weed management approaches.●
Herbicide use and environmental impact can be reduced through machine learning.● …
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 …
domains. Farming, a fundamental means of subsistence throughout human history, is no …