Real-time monitoring of tomato plants in plant factories is necessary to identify and classify diseases at the early stages to prevent possible outbreaks. The proposed DeepD381v4plus network exhibits ...
Thermal power generation has to adapt new methods to thrive as renewables transform dispatch. Now used more often as a bridge source of power rather than the main source of power, many fossil fuel ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.
Using a network of synchronized sensors, a new system provides energy and meteorological data every tenth of a second to more accurately predict the performance of solar plants. Subscribe to our ...
Monitoring urban plant health traditionally requires extensive manual labor and botanical expertise, creating challenges for cities facing expanding green spaces, higher population densities, and ...
Elevating precision farming with innovative plant e-skin coupled with digital-twin monitoring system
(Nanowerk News) Precision farming is an emerging field that uses analysis tools like sensors to collect data on crop plant conditions, such as temperature, humidity, moisture, and nutrient levels. The ...
Tomatoes are a critical source of nutrients and remain one of the most widely cultivated fruits globally. However, intensive greenhouse practices increase susceptibility to diseases, which can reduce ...
Thermal power plants, nuclear and fossil-fueled, rely on cooling water intake structures (CWIS) to withdraw water for rejecting waste heat. The CWIS serves as a critical interface between engineered ...
When choosing a solar power plant, individuals and businesses pay the most attention to its power – after all, this will determine how much electricity will be produced. Other equipment, systems and ...
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