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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A Business Case for Sharing

We blogged about sharing services in a decentralised business context recently, and explained why we think why these should be IT-Based for speedy delivery. This is not to say that all shared services projects worldwide have been resounding successes. This is often down to the lack of a solid business case up front. We decided to lay out the logic behind this process.

Management Overview ? The overview includes a clear definition of why the current situation is unacceptable, the anticipated benefits of sharing, and an implementation plan were it to go ahead. The project should not proceed until the stakeholders have considered and agreed on this.

Alternatives Considered ? The next stage is to get closer to the other options in order to determine whether an alternative might perhaps be preferable. Substitutes for shared services are often doing nothing, improving the current method, and outsourcing the service to a third party.

The Bottom Line in Business ? Sharing services comes at an initial cost of infrastructure changes, and the impact on human capital (the latter deserves its own blog). The following need careful consideration from the financial angle:

Numbers to Work Through

  • Manpower to design and roll the project out in parallel with the existing organisation.
  • Capital for creating facilities at the central point including civil works, furniture and equipment and IT infrastructure.
  • The costs of travel, feeding and accommodation. These can be significant depending on the time that implementation takes.
  • The opportunity loss of diverting key staff – and the cost of temporary replacements – if appointing line staff to the project team.
  • Crystal-clear project metrics including (a) the direct, realisable savings (b) the medium and long-term effects on profit and (c) where to deploy the savings

Risk Management

Shared services projects don’t go equally smoothly, although planning should reduce the risk to manageable levels. Nonetheless it is important to imagine potential snags, decide how to mitigate them and what the cost might be.

We believe in implementing shared services on a pilot basis in the business unit that eventually provides them. We recommend building these out to other branches only when new processes are working smoothly.

Moving On From a Decision

We recommend you revisit your management overview, the logic behind it, the assumptions you made, and the costs and benefits you envisage before deciding to go ahead

The final step in proving a business case is doable should be fleshing out your roadmap into a detailed operations plan with dependencies on a spreadsheet.

New Focus on Monitoring Soil

There is nothing new about monitoring soil in arid conditions. South Africa and Israel have been doing it for decades. However climate change has increased its urgency as the world comes to terms with pressure on the food chain. Denizon decided to explore trends at the macro first world level and the micro third world one.

In America, the Coordinated National Soil Moisture Network is going ahead with plans to create a database of federal and state monitoring networks and numerical modelling techniques, with an eye on soil-moisture database integration. This is a component of the National Drought Resilience Partnership that slots into Barrack Obama?s Climate Action Plan.

This far-reaching program reaches into every corner of American life to address the twin scourges of droughts and inundation, and the agency director has called it ?probably ?… one of the most innovative inter-agency tools on the planet?. The pilot project involving remote moisture sensing and satellite observation targets Oklahoma, North Texas and surrounding areas.

Africa has similar needs but lacks America?s financial muscle. Princeton University ecohydrologist Kelly Caylor is bridging the gap in Kenya and Zambia by using cell phone technology to transmit ecodata collected by low-cost ?pulsepods?.

He deploys the pods about the size of smoke alarms to measure plants and their environment.?Aspects include soil moisture to estimate how much water they are using, and sunlight to approximate the rate of photosynthesis. Each pod holds seven to eight sensors, can operate on or above the ground, and transmits the data via sms.

While the system is working well at academic level, there is more to do before the information is useful to subsistence rural farmers living from hand to mouth. The raw data stream requires interpretation and the analysis must come through trusted channels most likely to be the government and tribal chiefs. Kelly Caylor cites the example of a sick child. The temperature reading has no use until a trusted source interprets it.

He has a vision of climate-smart agriculture where tradition gives way to global warming. He involves local farmers in his research by enrolling them when he places pods, and asking them to sms weekly weather reports to him that he correlates with the sensor data. As trust builds, he hopes to help them choose more climate-friendly crops and learn how to reallocate labour as seasons change.

A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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