Coronavirus Has Highlighted the Problems in Supermarket Supply: IDTechEx Asks if Vertical Farming Could Be the Solution
The coronavirus pandemic has highlighted wider concerns about the security of the notoriously complex supply chains that modern supermarkets rely on. There are several middlemen standing in between the farmer and the consumer.
Supporters of vertical farming claim it could revolutionise global food production, practically eliminating food miles by enabling crop growth right next to urban population centres, paving the way for the future of smart cities.
The size of vertical farming market was anticipated as $3 billion in the year 2018 and is predicted to touch $20 billion till 2026, rising with a CAGR of 27% between the years 2018 to 2026. Rising environment and climate concerns across the world will propel vertical farming.
Representing a major advance for plant biology, the findings have important implications for the management of dangerous crop diseases which represent significant threats to food security.
High consumer expectations, low levels of appreciation make it tough to be a farmer, finds new research
Farmers should care most about "providing safe, healthy, abundant and affordable food," said a majority of survey takers. Yet those same respondents would prefer their food come from smaller/specialty, local or organic farms-which can't necessarily compete on cost.
The remote sensing technology in the precision farming market is expected to witness a growth rate of over 17% over the forecast timeline.
First-of-its-Kind Consortium Develops Crops Intended for Indoor Agriculture
The developing requirement for smart cultivating inferable from the massively rising populace is one of the key factors that is anticipated to enhance the development of the global smart greenhouse market in the following couple of years.
Lights block out stars on clear nights and create bright, colourful skies on overcast nights
The vertical farming technique offers speedier supply chain for seedling production and with an eight-week turnaround time of seedling ordering system.
Current, powered by GE celebrated the opening of CHAPs new Vertical Farming Development Facility, supported by Innovate UK and based at Stockbridge Technology Centre (STC).
Soil Health Institute Announces Methods for Evaluating Soil Health Indicators at a Continental Scale
By project conclusion in 2020, SHI expects to have the data required for recommending scientifically-sound soil health indicators to help farmers, scientists, agricultural policy makers, and others answer the fundamental question: Just how healthy are our soils?
The first project partners with industry to use robotics to aid farmers with mobility impairments. The Partnership for Innovation grant is a collaborative effort between Virginia Techs College of Engineering and the College of Agriculture and Life Sciences,
There are many different types of potential applications of AI in agriculture -- ranging from machine control, to image analysis, to improving our understanding of where, when, and how a crop might respond toparticular environmental conditions.
Amy Crawford for CityLab: A global analysis finds that urban agriculture could yield up to 10 percent of many food crops, plus a host of positive side benefits.
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Artificial intelligence can be used, for example, to classify fruit varieties or to identify damaged parts, e.g. apples with marks or color deviations. To cover all possible variances with classical image processing would be very time-consuming and costly. With artificial intelligence, however, these challenges can be solved in no time at all. IDS NXT ocean is a user-friendly all-one-one system which requires neither special knowledge in deep learning nor camera programming. Only sample images and knowledge on how to evaluate them (e.g. "good apples" / "bad apples") are needed. This makes the start into AI-based image processing particularly easy. Camera hardware, software, infrastructure and support come from a single company. For beginners, IDS offer the IDS NXT ocean Creative Kit, which includes all components and workflows to create, train and run a neural net.