Telemetry and the Survival of the Human Species

Without moisture, plants die. Without fodder, the animal food chain collapses. This is why climate change is the greatest threat humankind faces. Crop management needs timely information regarding ambient conditions, and also in the soil itself. In dry areas, online knowledge of trends in rainfall, sunlight, wind speed, leaf moisture, air temperature, relative humidity and solar radiation are indicators of soil stress that can be deadly for plants, and everything that relies on them.

As climate change bites, the need to find solutions accelerates. Drones swoop across to monitor ambient conditions, while probes sunk into plants and the earth in which they grow transmit information to big data repositories for feedback to administrators. In Australia, a remarkable cattle farmer is applying the same approach to his herds.

Nuffield scholar Rob Cook has always been on the edgy side of things. He lost his mobility in a helicopter crash in 2008 patrolling farmland but that has not deterred him. If anything, it has freed his mind to explore the potential that telemetry offers farmers in Australia. He shared this potential with the young beef producers in Roma Australia recently, and here is a summary what he said.

Being wheelchair bound he had to shift from herding with cattle dogs to a more scientific approach. He bought a farm 230 miles / 370 kilometres inland from Brisbane in a warm, temperate climate with significant rainfall even in the driest months. He uses observant software that reports on critical issues like water levels indicating animal consumption, and supplementary water flows from a central irrigation channel.

He also monitors fodder sources for dryer months, and moisture levels in food stocks. Rob is committed to making every blade of grass count. ?We even have the ability to take a photo of the cattle when they are taking a drink of water,? he explains, and that provides valuable information regarding tick and fly infestation and overall condition.

None of this would be possible for Rob Cook without telemetry, which is the process of collecting data at remote points and transmitting it to receiving equipment for analysis. Independent farmers do not have equipment to fund these analytic resources on their own, and use big data resources in a cloud to obtain reports. ecoVaro is on top of current trends. Please speak to us when you need independent advice.

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Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.

Sources of Carbon Emissions

Exchange of carbon dioxide among the atmosphere, land surface and oceans is performed by humans, animals, plants and even microorganisms. With this, they are the ones responsible for both producing and absorbing carbon in the environment. Nature?s cycle of CO2 emission and removal was once balanced, however, the Industrial Revolution began and the carbon cycle started to go wrong. The fact is that human activities substantially contributed to the addition of CO2 in the atmosphere.

According to statistics gathered by the Department of Energy and Climate Change, carbon dioxide comprises 82% of UK?s greenhouse gas emissions in 2012. This makes carbon dioxide the main greenhouse gas contributing to the pollution and subsequent climate change in UK.

Types of Carbon Emissions

There are two types of carbon emissions ? direct and indirect. It is easier to measure the direct emissions of carbon dioxide, which includes the electricity and gas people use in their homes, the petrol burned in cars, distance of flights taken and other carbon emissions people are personally responsible for. Various tools are already available to measure direct emissions each day.

Indirect emissions, on the other hand, include the processes involved in manufacturing food and products and transporting them to users? doors. It is a bit difficult to accurately measure the amount of indirect emission.

Sources of Carbon Emissions

The sources of carbon emissions refer to the sectors of end-users that directly emit them. They include the energy, transport, business, residential, agriculture, waste management, industrial processes and public sectors. Let’s learn how these sources contribute carbon emissions to the environment.

Energy Supply

The power stations that burn coal, oil or gas to generate electricity hold the largest portion of the total carbon emissions. The carbon dioxide is emitted from boilers at the bottom of the chimney. The electricity, produced from the fossil fuel combustion, emits carbon as it is supplied to homes, commercial establishments and other energy users.

Transport

The second largest carbon-emitting source is the transport sector. This results from the fuels burned in diesel and petrol to propel cars, railways, shipping vehicles, aircraft support vehicles and aviation, transporting people and products from one place to another. The longer the distance travelled, the more fuel is used and the more carbon is emitted.

Business

This comprises carbon emissions from combustion in the industrial and commercial sectors, off-road machinery, air conditioning and refrigeration.

Residential

Heating houses and using electricity in the house, produce carbon dioxide. The same holds true to cooking and using garden machinery at home.

Agriculture

The agricultural sector also produces carbon dioxide from soils, livestock, immovable combustion sources and other machinery associated with agricultural activities.

Waste Management

Disposing of wastes to landfill sites, burning them and treating waste water also emit carbon dioxide and contributes to global warming.

Industrial Processes

The factories that manufacture and process products and food also release CO2 , especially those factories that manufacture steel and iron.

Public

Public sector buildings that generate power from fuel combustion also add to the list of carbon emission sources, from heating to other public energy needs.

Everybody needs energy and people burn fossil fuels to create it. Knowing how our energy use affects the environment, as a whole, enables us to take a step ahead towards achieving better climate.

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Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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