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Internet of Everything & Land
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Internet of Everything & Land

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Land is addressable by latitude and longitude. It needs no IP addresses and can provide relevant information about the food grown on it - with some help from satellite imagery, weather patterns, soil ...

Land is addressable by latitude and longitude. It needs no IP addresses and can provide relevant information about the food grown on it - with some help from satellite imagery, weather patterns, soil and agricultural activity data. Predict yield, optimize natural resource usage and trace food from farm to plate. Data Analytics with the new play of Land 2 People, Land 2 Machines adds a new play to the Internet of Everything

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  • NDVI – Normalized Difference Vegetative Index. Graphical indicator used to analyze remote sensed measurements (imagery) to detect vegetation and its vigor.ETc – Evapotranspiration by crop is the sum of transpiration and evaporation.Ya/Ymax is the relative yield; (1-Ya/Ymax) the relative yield decrease;ETa/ETmax the relative evapotranspiration; (1-ETa/ETmax) the water stress or relative evapotranspiration deficit; Ky is the response of yield to water stress for a given environment. ∑NDVIa: actual NDVI sum for crop cycle∑NDVImax: maximum NDVI sum for crop cycle

Internet of Everything & Land Presentation Transcript

  • 1. another thing in the Internet of Everything
  • 2. 48 Trillion Dollar Industry introducing the thing powered by a satellite limited example of an application look ma no IPv6 topics 35 minutes & some serious imagination required
  • 3. 48 Trillion Dollar Industry look no further than your dinner Fun fact: Global tomato business is in excess of 6 Billion dollars FOOD
  • 4. Introducing the thing we live on it we walk on it we grow our food on it Fun fact: 13.86 Trillion sq meters of arable land or 13,860,000,000,000 sq meters of land addressable by latitude and longitude * * that’s way more than 1000x the number of connected things projected for the IoT thing = land
  • 5. but how is land a thing? + + Satellite with minimum of 30 meter resolution (e.g. Landsat 8) Spectral imagery with 11 bands of information (terabytes worth of data – for free from Landsat 8) Weather data (e.g. CIMIS) Activity data (e.g. what’s being grown on the land, water applied, etc) + Math (e.g. NDVI*, ETc** correlated to yield) = Land (addressable by Lat/Long and self- aware) big data/analytics Platform Introducing L2P, L2M connections: Land is able to indicate a water need, to engage the connected sprinkler system. (L2M) Land is able to send a work order for pest control. (L2P) Query the land, yield can be predicted at a field level. Go Bigger - The United States can secure tomato imports for a lower price from Mexico – with improved accuracy of yield prediction well before the demand drives up the price
  • 6. how does it work? BIG Data & Analytics platform for the food ecosystem • Satellite imagery • Weather data (including predictive models) • Soil data (Soil web) • Activity data (what’s grown, how much water applied, etc) What does it do? A continuous processing engine crunches publicly available data (see above), private data (grower specific/history) and produces aggregated relevant information for the food ecosystem. Benefits & Outcomes: Food production management Food tracking (e.g. homing in on E.Coli sources, avoid mass destruction of food) Yield prediction (beats guessing) Resource utilization and reporting Pest management & Logistics tracking What’s currently being done: Farmers guess based on last year leading to wasteful practices. (e.g. currently overwatering results in 30% water loss) Processors in the ecosystem rely on the guesses. Who benefits? The entire food ecosystem – growers, processors, consumers, agencies (coalitions and government). Environmental benefits (resource conservation efforts and reporting) What’s at stake? It is a 48 Trillion Dollar market – go figure.
  • 7. look ma no IPv6 Perhaps the initial intent of Things in IoT were limited to those addressable via an IP. However, this proves to be limiting since the majority of arable land that supplies the world’s food will not see a sensor on it for some time to come. Try selling a sensor to the growers in the largest rice producing country – good luck! Land can well be a thing (augmented of course) and yet be able to serve the industry practices of: • Compliance • Yield management • Collaboration • Labeling and food tracking • Resource Management Land is easily addressed – Latitude and Longitude and you are there. Ascribing the “thing” status to Land enables it to deliver information to the requesting entity – Machine or Person abstracting away the platform/satellite/attribute data providers. Environmental goals are met with the L2P, L2M approach – fewer electronic gadgets manufactured, remote (less intrusive observations) provide a greater degree of accuracy than expensive gadgets and maintenance costs. Skybox recently initiated a service providing 1 meter resolution satellite imagery and HD quality video and while lower in resolution Landsat 8 data is free. Resource Conservation efforts by government agencies can now have traceability and tracking of natural resources (E.g. Water shortage in California – drought, decisions about which districts get water; its usage can be better understood and managed). All with publicly available data, no IP addresses, a big data analytics engine, a few satellites and the vision to productize IoE at
  • 8. after all nobody thrives without food (or water)
  • 9. Piqued? Wilfred, Lawrence (650) 575 8975