Smart Agriculture
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2020.10.27
An early-warning intelligent system for physiological diseases of citrus fruit
Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan and Industrial Technology Research Institute collaborate on developing an early-warning intelligent system for
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2020.10.26
A crop cultivation monitoring system for asparagus production
The traditional asparagus management mode has resulted in uneven yield and quality, serious diseases, and concentrated production period. The cultivation monitoring system and crop traceability management are based on
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2020.10.23
Online Yield Prediction for Protected Culture Vegetable
We build a regression model with luminosity below light saturation point as independent to predict the yield and harvesting period of vegetables in protected structures.
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2020.10.22
The Investigation of Vegetable Seedlings Physiological Parameters
The investigation of vegetable seedlings physiological parameters is aimed to investigate the reaction between different kinds of vegetables and in different environments. It may provide optimized environmental control parameters as
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2020.10.21
Intelligent Detection Technology for Pineapple Quality
In this work we use hyperspectral images combined with AI technology to develop non-destructive detection methods to establish three quality identification models for internal browning of pineapple tissues, bruise, and sound of fruit
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2020.10.20
The growth light source module for Eustoma, Indian jujube and sugar apple
The plant growth light source modules specially developed for Eustoma, Indian jujube and Sugar apple can reduce the electricity cost during the annual cultivation period. This technology develops special spectrum composition and
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2020.10.19
Hyperspectral Technology for Real-time Agricultural Product Quality Monitoring Platform
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.
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2020.10.16
Facility crop characteristics and quality monitoring technology
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
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2020.10.15
Image recognition system for the breeding behavior of blackfinned clownfish
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
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2020.10.14
Infrared thermal imaging monitoring system for intelligent floor production house of broilers
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