The Zhanghe irrigation system (ZIS) is located in the Yangtze River Basin approximately 200 km west of Wuhan in Hubei Province. The reservoir was designed for multiple uses—irrigation, flood control, domestic water supply, industrial use, aquaculture, and hydropower. Over a period of more than 30 years a steadily increasing amount of water has been transferred from irrigation to other uses. Activities on the part of government, irrigation system managers, and farmers made this transfer possible with only modest decline in rice production. Most important factor was the steady increase in rice yields. The water pricing system provided an incentive for ZIS to reduce irrigation releases. With the steady decline in releases, farmers were forced to find ways to save water. Farmers improved existing ponds and built new ones to store water (improved infrastructure). Access to pond water on demand facilitated the adoption of alternate wetting and drying (technology) particularly in dry years. The establishment of volumetric pricing (price policy) and water user associations (institutions) may also have provided incentives for adoption of AWD, but more research is needed to establish their impact. These activities taken together can be seen as potentially complementary measures. Farmers received no direct compensation for the transfer of water, but recently farm taxes have been reduced or altogether abolished. Further reduction in water releases from the ZIS reservoir could adversely affect rice production in normal or dry years.
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This paper focuses on utilizing the Celciushouse as an escape room in energy education. In a broader context, it also addresses the incorporation of serious gaming in education. The project is part of COVE SEED. SEED - Sustainable Energy Education, aims to develop innovative vocational education and training, working with experts from five different European regions to phase out fossil fuels and contributing to Europe becoming a fossil free energy continent. SEED is a CoVE (Centres of Vocational Excellence) programme. CoVE’s are part of the Erasmus+ program aiming to establish transnational platforms on, among others, regional development, innovation and inclusion. SEED combines education on various international levels including level 2,3,4, and 6. At this moment, the project ESCAPEROOM IN ENERGY EDUCATION is still in its initial phase. With this paper and the accompanying workshop, we aim to gather insights from other international regions involved in the SEED project collaboration. The acceleration of technological developments means that what is learned today may be outdated tomorrow. Therefore, it is essential for educational institutions to focus on developing general skills such as critical thinking, problem-solving, and the ability to quickly absorb new information. The market demands professionals with modern knowledge and skills. Techniques taught to students today may become outdated tomorrow. Therefore, the ability to learn how to learn is becoming increasingly crucial. Analytical and research skills are therefore gaining importance. It is also essential for students to utilize various learning methods. Not just learning from books but particularly learning from practical experience. Practice-oriented learning, where students gain direct experience in real situations, not only reinforces theoretical knowledge but also develops practical skills that are valuable in the job market. To tackle these problems, serious gaming or the establishment of escape rooms can be a solution.
MULTIFILE
This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. Due to the apex's sensitivity to physical contact, non-invasive monitoring is essential. This paper addresses the demand for automated, contactless systems among Dutch growers. Our approach integrates deep learning models (YOLO and Faster RCNN) with RGB-D camera imaging to enable accurate, scalable, and non-invasive measurement in greenhouse environments. A dataset of 600 RGB-D images captured in a controlled greenhouse, was fully preprocessed, annotated, and augmented for optimal training. Experimental results show that YOLOv8n achieved superior performance with a precision of 91.2 %, recall of 86.7 %, and an Intersection over Union (IoU) score of 89.4 %. Other models, such as YOLOv9t, YOLOv10n, YOLOv11n, and Faster RCNN, demonstrated lower precision scores of 83.6 %, 74.6 %, 75.4 %, and 78 %, respectively. Their IoU scores were also lower, indicating less reliable detection. This research establishes a robust, real-time method for precision agriculture through automated apex head thickness measurement.
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Living walls are increasingly becoming tools for green climate adaptation in the urban context, but distribution efforts are dampened by high investment and operational costs. Those costs are derived mainly from designing and manufacturing unique equipment for such new projects. A system using wastewater could relieve some of these costs by decreasing their irrigation and fertigation needs. Muuras is developing helophyte filters integrated into living wall systems that can readily be attached to any wall surface, with the ultimate purpose of local water recycling. Additionally, based on the fact that Muuras is a pre-engineered company, their product is modular, which means that a considerable advantage is recognized regarding the decreased capital cost. To realize scalable implementation of such a system, research with regards to the purification capabilities of lightweight substrates and small wetland plant species is imperative. In SoW & FloW, the NHL Stenden Water Technology Professorship proposes a collaboration between two SME’s (Muuras, Greenwave Systems) and a company (DeSaH), to evaluate a selection of substrates and endemic plant species based on their capability to use domestic wastewater as an irrigation source.
