SKU: 60270274580

VIVOSUN VCure Smart Trocknungs- & Curing-Box

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Description

VIVOSUN VCure Smart Trocknungs- & Curing-BoxVIVOSUN VCure Die smarte Trocknungs & Curing Lsung Die VIVOSUN VCure Smart Post Harvest Box automatisiert den gesamten Trocknungs und Curing Prozess Ihrer Ernte. Mit dem integrierten 4 in 1 Klimasystem Khlen, Heizen, Entfeuchten und Befeuchten herrschen konstant optimale Bedingungen im 90 Liter Innenraum. Dank Inverter Kompressor und 360 Luftzirkulation trocknet Ihr Erntegut gleichmig und geschmacksschonend ganz ohne manuelles Lften oder Burpen.

VIVOSUN VCure – Die smarte Trocknungs- & Curing-Lösung

Die VIVOSUN VCure Smart Post-Harvest Box automatisiert den gesamten Trocknungs- und Curing-Prozess Ihrer Ernte. Mit dem integrierten 4-in-1 Klimasystem – Kühlen, Heizen, Entfeuchten und Befeuchten – herrschen konstant optimale Bedingungen im 90-Liter-Innenraum. Dank Inverter-Kompressor und 360°-Luftzirkulation trocknet Ihr Erntegut gleichmäßig und geschmacksschonend – ganz ohne manuelles Lüften oder Burpen.

Präzise Klimakontrolle für perfekte Ergebnisse

  • 4-in-1 Klimasystem: Temperatur (16–22 °C) und Luftfeuchtigkeit (55–65 % RF) werden vollautomatisch geregelt
  • Inverter-Kompressor: Energieeffizient, präzise und flüsterleise mit ≤ 40 dB
  • 360° Luftzirkulation: Duales Luftkanalsystem verhindert Hotspots und sorgt für gleichmäßige Trocknung auf allen Ebenen
  • Automatisches Vapor-Balance-System: Kein manuelles Entleeren oder Nachfüllen nötig
  • Integrierter Aktivkohlefilter: Minimiert Gerüche während des gesamten Prozesses

Intelligente Steuerung per App & Touchscreen

Die VIVOSUN App (iOS & Android) macht die VCure zur smarten Kommandozentrale Ihrer Nachernteverarbeitung. Überwachen Sie Temperatur und Luftfeuchtigkeit in Echtzeit, starten Sie eines der 5 voreingestellten Programme oder erstellen Sie eigene, unbegrenzt anpassbare Profile. Mit der Rezept-Sharing-Funktion können Sie Ihre bewährten Einstellungen speichern und mit anderen Growern teilen. Der integrierte Touchscreen ermöglicht auch ohne Smartphone die volle Kontrolle.

Quick Cycle: In 8 Tagen zum perfekten Ergebnis

Traditionelle Trocknung und Curing dauert oft 30 Tage oder länger – mit dem Quick Cycle Modus der VIVOSUN VCure erreichen Sie ein optimales Resultat in nur ca. 8 Tagen. Das spart nicht nur Zeit, sondern liefert dank präziser Klimaführung reproduzierbare Qualität bei jeder Ernte. Die Kapazität von bis zu 1,1 kg nasser Ernte verteilt sich auf mehrere herausnehmbare Innenregale.

Smarte Features für höchsten Komfort

  • Smart dimmbares Glas: Per Touch zwischen transparent und blickdicht umschaltbar – kein Öffnen der Tür nötig
  • 4000K LED-Innenbeleuchtung: Klare Sicht auf Ihr Erntegut jederzeit
  • Smart-Locksystem mit Türwarnung: Verhindert unbeabsichtigtes Öffnen während des laufenden Programms
  • One-Touch-Start: Keine komplizierte Einrichtung – einfach einschalten und loslegen

Die VIVOSUN VCure ist die ideale Wahl für ambitionierte Homegrower, die Wert auf gleichbleibend hohe Qualität und Aromaerhalt legen. Als Teil des VIVOSUN Smart-Grow-Ökosystems fügt sie sich nahtlos in Ihre bestehende Ausstattung ein und macht die Nachernteverarbeitung so einfach und zuverlässig wie nie zuvor.

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SKU: 60270274580

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4.3 ★★★★★
Based on 25 reviews
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Verified Purchase
Shannon
Port Orchard, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
West Palm Beach, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Pawtucket, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Cuba, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Lake Worth, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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