Smart Agriculture
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2020/10/30
Improving the efficiency of livestock farm by smart technology
Pig husbandry accounts for 46.1% of the domestic animal husbandry output value, and the output value is as high as NT$75.558 billion. Among all the development stages, piglets are relatively vulnerable and need more attention. This project proposes to
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2020/10/29
Manufacturing and application of the high-efficiency made mushroom compost
In order to improve the labor consumption, energy consumption, low yield and uneven quality of the traditional mushroom industry's compost production and fermentation methods, the Taiwan Agricultural Research Institute
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2020/10/28
Crop disaster early warning and notification system
The crop disaster early warning and notification system integrates the real-time weather information, forecasting, and crops critical thresholds to provide useful and instant information to the
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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.