The quality control of agricultural products is a very important issue. Traditional methods use manual sampling. The disadvantage is that the procedures are complicated and time consuming, and the test results cannot be obtained immediately.
In response to the future development of smart agriculture, a set of facility crop leaf area real-time monitoring systems are developed in this research. The systems can remotely measure the leaf area and send the data back to the
Marine ornamental fish with beautiful shapes and gorgeous colors are extremely popular in the aquarium market and play a vital role in the ecosystem. The behavior image recognition system, as developed in this study, identifies the breeding fish of
The developed poultry monitoring system integrates infrared thermal imager, visible camera, temperature and humidity sensor, anemometer, carbon dioxide sensor and ammonia sensor with Raspberry Pi. This monitoring system could not only collect
After the saury catch is sucked on the vessel by the fish suction machine, it enters the sorting machine through the fish-water separator. The sorting machine is equipped with several rollers parallel to the sliding direction of the saury
In current practice, people determine whether or not pathogens exist in water by observing the color of the aquatic pathogen detection reagent through visual inspection; however, such a method is still unavailable for the quantification of pathogens.
The image capture and real-time transmission device for shallow waters utilizes surface long-distance wireless transmission technology, and integrates surface UAV positioning and automatic cruise technologies.
This system used the radio frequency identification (RFID) technology to detect the RFID tags on egg package containers and recorded the product information, such as product type, packaging time, and its corresponding setting weight.
The mushroom cultivation automated transportation system is developed by utilized the principle of the automated storage and retrieval system for logistics input and output of the warehouse.
Research Purpose The ROS autonomous inspection platform is used to sense and collect the growth data of the mushroom cultivation process to build the modeling applications of growth prediction system in the future.