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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃振康 | zh_TW |
| dc.contributor.advisor | Chen-Kang Huang | en |
| dc.contributor.author | 周秉毅 | zh_TW |
| dc.contributor.author | Ping-Yi Chou | en |
| dc.date.accessioned | 2024-12-24T16:17:24Z | - |
| dc.date.available | 2024-12-25 | - |
| dc.date.copyright | 2024-12-24 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-12-11 | - |
| dc.identifier.citation | Abaajeh, A. R., C. E. Kingston, and M. Harty. (2023). Environmental factors influencing the growth and pathogenicity of microgreens bound for the market: a review. Renewable Agriculture and Food Systems, 38, e12.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96310 | - |
| dc.description.abstract | 本研究透過樹莓派單板電腦建立微型蔬菜生長箱，於微型蔬菜生長箱內以不同灌溉方式包括潮汐式、氣霧式，進行紫甘藍（Brassica oleracea var. capitata f. rubra）、青花菜(Brassica oleracea var. italica)、小麥(Triticum aestivum L.)等微型蔬菜的栽培，旨在建立居家栽培的微型蔬菜生長箱，透過簡易的種植，能夠收穫高營養價值作物為目的。探討灌溉方式外，經由水溫的控制、光照天數、灌溉的時間間隔與二次代謝物間的綜合影響。
本研究建立特定微型蔬菜之環境溫度、相對濕度、水溫、光線及灌溉方式等完整生長過程，並量測每一作物在收穫期之總酚類化合物、類黃酮化合物、葉綠素、類胡蘿蔔素等含量。結果顯示，氣霧式灌溉相較於潮汐式灌溉顯著促進了下胚軸的生長。延長浸種時間增加了花青素含量，這表明延長的水分暴露增強了種子的抗氧化能力。超音波清洗也對總酚類和花青素含量有顯著提升。此外，光照和水溫對於類黃酮的積累有顯著的影響。類黃酮化合物含量隨著光照時間的延長而增加，在四天時達到峰值。較低的水溫 (20oC)加速了類黃酮的合成，但四天後，最終含量與較高溫度(25oC)下的類黃酮含量相似。 使用 YOLOv9 影像辨識技術在檢測發芽階段辨識準確率達 99%。本研究可提供優化環境參數可以顯著提高自產微型蔬菜的營養價值，可助於家庭使用與小規模栽培者做為參考。 | zh_TW |
| dc.description.abstract | This study utilized Raspberry Pi single-board computer (SBC) to establish a microgreens growth chamber, cultivating red cabbage (Brassica oleracea var. capitata f. rubra), broccoli (Brassica oleracea var. italica), and wheat (Triticum aestivum L.) using different irrigation methods, including ebb and flood and aeroponic. The aim was to develop a home microgreens growth chamber that enables the harvesting of high-nutrient crops through simple planting techniques. Besides exploring irrigation methods, the study also investigated the comprehensive effects of water temperature control, light periods, irrigation intervals, and secondary metabolite accumulation.
The research established a complete growth process for specific microgreens, including environmental temperature, relative humidity, water temperature, lighting, and irrigation methods. Each crop's total phenolics, total flavonoids, chlorophyll, and carotenoid contents were measured at harvest. The results showed that aeroponic significantly promoted hypocotyl growth compared to the ebb and flood method. Extended soaking time increased anthocyanin content, indicating enhanced antioxidant capacity due to prolonged water soaking. Ultrasonic cleaning significantly boosted the content of total phenolics and anthocyanins. Additionally, light periods and water temperature had significant effects on total flavonoids accumulation. Total flavonoids content increased with longer light periods, peaking at four days. Lower water temperature (20°C) accelerated flavonoid synthesis, but the final content after four days was similar to that at a higher temperature (25°C). Using YOLOv9 image recognition technology achieved a 99% accuracy rate in detecting germination stages. This study demonstrates that optimizing environmental parameters can significantly enhance the nutritional value of home-grown microgreens, providing valuable insights for household use and small-scale cultivators. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-12-24T16:17:24Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-12-24T16:17:24Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 中文摘要 i
ABSTRACT ii Table of Contents iv List of Figures ix List of Tables xv 1 Chapter 1 Introduction 1 2 Chapter 2 Literature Review 6 2.1 Indoor Hydroponic and Modern Agriculture 6 2.2 Controlled Environmental Agriculture 7 2.2.1 Hydroponic Systems 7 2.2.2 Aeroponic Systems 9 2.2.3 Light 9 2.2.4 Light Intensity 10 2.2.5 Light Quality 12 2.2.6 Photoperiod 17 2.2.7 Growing Media 21 2.2.8 Ambient Temperature 22 2.3 Cultivation of Microgreens 23 2.3.1 Commercial Cultivation Methods of Microgreens 23 2.3.2 Commercial Cultivation Methods of Microgreens in Taiwan 27 2.4 Experimental Crops 29 2.4.1 Red Cabbage 29 2.4.2 Broccoli 30 2.4.3 Wheatgrass 30 2.5 Network Architecture Differences between YOLOv5 and YOLOv9 32 2.5.1 YOLO Basic Architecture 32 2.5.2 YOLOv5 Architecture 33 2.5.3 YOLOv9 Architecture 36 2.5.4 Pros of YOLOv9 Over YOLOv5 39 3 Chapter 3 Materials and Methods 41 3.1 Experimental Site 41 3.2 Environmental Control and Data Recording 44 3.2.1 Environmental Data Recording and Water Temperature Control 44 3.2.2 Artificial Light Control 45 3.2.3 Camera 46 3.3 Microgreens Growth Chamber, Cultivation Crops, and Methods 47 3.3.1 Microgreens Growth Chamber Materials 47 3.3.2 Ebb and Flood Method 48 3.3.3 Aeroponic Method 48 3.3.4 Cultivation Crops 49 3.3.5 Cultivation Water 49 3.3.6 Seed Cleaning 49 3.4 Measurement Instruments and Equipment 50 3.5 Measurement Methods 50 3.5.1 Sample Preparation 50 3.5.2 Plant Fresh Weight and Height 54 3.5.3 Total Phenolics Content 54 3.5.4 Total Flavonoids Content 55 3.5.5 Anthocyanins 56 3.5.6 Chlorophyll a, b, and carotenoid Content 57 3.6 Deep Learning Method for analyzing microgreens germination rates 58 3.6.1 Environmental Setup 58 3.6.2 Data Collection 58 3.6.3 Data Labeling for YOLO 58 3.6.4 Data Pre-processing 61 3.7 Statistical Analysis 62 3.8 Series experiments for specific explorations 63 3.8.1 Effects of Irrigation Methods on Red Cabbage Growth 63 3.8.2 Effects of Aeroponic Irrigation Duration on Red Cabbage Growth 65 3.8.3 Effects of Soaking Duration on Red Cabbage Seeds 67 3.8.4 Effects of Seed Cleaning Methods on Red Cabbage Microgreens Growth 69 3.8.5 Effects of Light Periods on the Growth of Ultrasonically Treated Red Cabbage Seeds 71 3.8.6 Effects of Light Periods and Water Temperature on Microgreens Growth 73 3.9 Application of Deep Learning Models for Germination Rate Identification and Analysis of Object Feature Relationships in Microgreens 75 3.9.1 Experimental Setup and Data Collection 75 3.9.2 Evaluation Metrics 75 3.9.3 Image Feature Classification 76 4 Chapter 4 Results and Discussion 79 4.1 Effects of Irrigation Methods on Hypocotyl Length of Red Cabbage Microgreens 79 4.2 Effects of Aeroponic Irrigation Duration on Hypocotyl Length of Red Cabbage Microgreens 80 4.3 Effects of Seed Soaking Duration on Red Cabbage Microgreens 82 4.4 Effects of Seed Cleaning Methods on Secondary Metabolite Content in Red Cabbage Microgreens 84 4.5 Effects of Light Periods on Secondary Metabolites in Ultrasonically Treated Seeds 87 4.6 Effects of Light Periods and Water Temperature on Microgreens Growth 89 4.6.1 Effects of Light Periods and Water Temperature on Secondary Metabolites 90 4.6.2 Combined Flavonoid Synthesis Limits 93 4.6.3 Hypocotyl Length Trends at 20°C and 25°C 95 4.6.4 Finding the Balance between Flavonoid Content and Hypocotyl Length 97 4.7 Comparison with Commercially Available Red Cabbage and Broccoli Microgreens 105 4.8 Application of Deep Learning Models for Germination Rate Identification and Analysis of Object Feature Relationships in Microgreens 116 4.8.1 Impact of Object Features and Quantities on Model Performance 116 4.8.2 Cross-application of YOLOv9 Model 117 4.8.3 Effects of Soaking Duration on the Germination of Red Cabbage Microgreens 118 4.8.4 Effects of Ultrasonic Cleaning on the Germination of Red Cabbage and Broccoli Microgreens 119 5 Chapter 5 Conclusions and Prospective 121 5.1 Conclusions 121 5.2 Prospective 125 References 127 | - |
| dc.language.iso | en | - |
| dc.subject | 微型蔬菜 | zh_TW |
| dc.subject | 高營養價值作物 | zh_TW |
| dc.subject | 植物生長箱 | zh_TW |
| dc.subject | 芽菜 | zh_TW |
| dc.subject | 生長條件 | zh_TW |
| dc.subject | high-nutrient crops | en |
| dc.subject | sprouts | en |
| dc.subject | microgreens | en |
| dc.subject | plant growth chamber | en |
| dc.subject | growth conditions | en |
| dc.title | 植物生長箱栽培微型蔬菜與其二次代謝物之探討 | zh_TW |
| dc.title | Exploration of Microgreens Cultivation and Secondary Metabolites in Plant Growth Chamber | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 方煒;林淑怡 | zh_TW |
| dc.contributor.oralexamcommittee | Fang Wei;Shu-I Lin | en |
| dc.subject.keyword | 植物生長箱,微型蔬菜,芽菜,高營養價值作物,生長條件, | zh_TW |
| dc.subject.keyword | plant growth chamber,microgreens,sprouts,high-nutrient crops,growth conditions, | en |
| dc.relation.page | 134 | - |
| dc.identifier.doi | 10.6342/NTU202404667 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2024-12-11 | - |
| dc.contributor.author-college | 生物資源暨農學院 | - |
| dc.contributor.author-dept | 生物機電工程學系 | - |
| dc.date.embargo-lift | 2029-12-10 | - |
| 顯示於系所單位： | 生物機電工程學系 | |
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