Smart agriculture的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

Nanotechnology Interventions in Food Packaging and Shelf Life

為了解決Smart agriculture的問題，作者 這樣論述：

Nanotechnology has revolutionized agriculture and food technology, improving the shelf life of foods through interventions of nanomaterials in the packaging. Smart materials, biosensors, nanobiosenors, packaging materials, nanocarbon dots, and nanodevices address aspects of the food industry, suc

h as food safety, food security, and packaging and shelf life.Nanotechnology Interventions in Food Packaging and Shelf Life shows how nanotechnology has the potential to transform food packaging materials in the future.Nanotechnology applied to food packaging can increase the shelf life of foods, mi

nimize spoilage, ensure food safety, and repair damaged packaging. Key FeaturesSheds light on benefits of nanotechnology in the food packaging industryContains information on utilization of nanocellulose and nanofibrils in food packagingProvides an overview of nanosensor applications for shelf-life

extension of different food materialsThis book presents a comprehensive review of new innovations in nanotechnology, packaging, preservation, and processing of food and food products. It serves as a useful tool for food engineers and technologists in the food packaging industry.

Smart agriculture進入發燒排行的影片

以資料倉儲驅動即時預測性維護平台：以連續型生產為例

為了解決Smart agriculture的問題，作者黃士峰 這樣論述：

工業4.0的出現，促使現代機械設備相互溝通和協作生產的複雜度大為提升，任何一個生產環節的故障情事發生，都可能產生重大的後果。為落地工業4.0策略框架以實現工業高度自動化，勢必需要一全方位平台來整合既有之前沿技術，如：物聯網、機聯網、雲端運算、大數據分析、人工智慧等，能分析出機械設備於運作過程中的潛在缺陷，並於實際轉為故障前主動發出警報訊息，使產線人員得以迅速作出反應。本研究提出一以資料倉儲作為驅動核心的即時預測性維護平台，為具備連續型生產之企業提供即時預警分析服務。該平台整合了可用於處理感測器時間序列數據的資料倉儲系統，以及便於生成機器學習模型的大數據分析平台，並整合善於處理即時串流數據和故

障檢測的Spark分析引擎。

Handbook of DNA Profiling

為了解決Smart agriculture的問題，作者 這樣論述：

Dr. Hirak Ranjan Dash completed his Ph.D. from the Department of Life Science, National Institute of Technology, Rourkela, India, and is currently working as a DNA fingerprinting expert at the Forensic Science Laboratory, Bhopal, Madhya Pradesh, India. He received his M.Sc. in Microbiology from Oris

sa University of Agriculture and Technology, Odisha, India. His research interests include forensic microbiology, thanatomicrobiome analysis, molecular microbiology, DNA fingerprinting and genetic manipulation. He has written 4 books and published 29 research papers, 14 book chapters, 12 conference

proceedings, and 4 popular science articles.Dr. Pankaj Shrivastava received his Ph.D. in Microbiology with a specialization in Biotechnology from the Department of Biological Science, Rani Durgawati University, Jabalpur, Madhya Pradesh, India. He is working as In charge of the Forensic DNA Fingerpri

nting facility of Govt. of Madhya Pradesh, India at Sagar. He has more than 13 years of experience as the bench worker for examining and reporting a wide range of criminal cases using DNA technology and deposing the court evidence. His research interests include population DNA database, improvement

of methods in forensic DNA typing, finding rapid protocols for the technology, and microbial forensics. He is the recipient of the prestigious Pt. Govind Vallabh Pant Award from the Bureau of Police Research and Development, Ministry of Home Affairs, Govt. of India twice, and Anusrajan Award from AI

ISECT University, Bhopal for his authored books. He is also a recipient of the FICCI Smart Policing award for developing a fast DNA typing protocol. He is visiting faculty of many universities, Police training Institutes, and Judicial officers training Institutes. He has written 13 books and publish

ed 65 research papers in the journals of repute in forensic science, 21 book chapters, 84 conference proceedings, 15 popular science articles.José A. Lorente is a Professor of Forensic Medicine at the University Of Granada, Spain. After graduating at the Faculty of Medicine of Granada in 1985, he re

ceived Ph.D. Honors in Medicine and Surgery at the University of Granada, in 1989. Dr. Lorente has published over 140 peer-reviewed papers and several books and book chapters. He has a special focus on the use of DNA and its application to human rights (he launched the first-ever database to identif

y missing people, the Spanish Phoenix Program, back in 1999); he also created and launched the DNA-PROKIDS Program in 2004. His areas of interest in forensics also deal with population variability and analysis of old and ancient DNA samples and databases expansion and control. Dr. Lorente is also ac

tively working in medical genomics and he’s the scientific director of the Center for Genomics and Oncological Research (GENYO), where his team focuses on liquid biopsy and cancer interception. Dr. Lorente is the founder and first president of the AICEF (Ibero-Latin American Network of Forensic Scie

nces), and an honorary member of the AFSN (Asian Forensic Sciences Network).

應用卷積神經網路於雲影像降雨預測

為了解決Smart agriculture的問題，作者蕭偉泓 這樣論述：

降雨預測是發展智慧農業重要的一環。古代人靠觀天象辨風雲預測天氣，現代人則是依靠氣象預報進行降雨預測。但是，這些預測降雨的解決方案大都不夠精準與即 時，無法滿足農民們實際的需求。因此，如何發展更即時，符合智慧農業快速發展的 降雨預測是目前極為重要的課題。本文利用有效的資通訊和人工智慧 AI 技術，結合 大數據分析，提出一套能預測下五分鐘後天氣狀況的降雨預測方法，對可能的災害進 行即時預防。本研究提出的 VGG-Cloud 預測模型，是以 VGG16 卷積神經網路模型 為基礎，結合遷移學習的 Layer Transfer 技術，保留或改進了其中的部分架構及參數， 再以收集到的天氣雲圖進行實際模型

訓練而得。實驗結果顯示，本文提出的 VGG- Cloud 模型是能夠成功地將 VGG16 的圖像特徵學習的機制轉移到雲層圖像的特徵計 算上;並且在有限天氣圖像數據的情形下，VGG-Cloud 模型成功預測出 5 分鐘後沒 下雨天氣狀況的準確率為 81%，而成功預測出 5 分鐘後下雨天氣狀況的準確率亦可 達 80%。所以，整體來說，VGG-Cloud 相較於 VGG16 模型，預測準確率由 72%提高 到 81%，改善了 12.5%;模型參數運算需求量也大幅減少了 99.98%，大大提升了運 算效率以及用 Edge Computer 實現模型訓練的可能性。這些結果也驗證了本論文所提 方法的有效性

和實用價值。