TECHNOLOGY

AI – AGRICULTURE: ARCHIVE

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REVIEW THESE INFORMATIVE ARTICLES FROM 2017 – AND READ THOSE THAT INTEREST YOU

Smartphone Ap identifies diseases in cassava plants (AI/Disease Detection - 2017-10 - The Download)

Wired reports that researchers have developed a lightweight image-recognition AI that uses transfer learning to identify diseases in the cassava plant based on just 2,756 pictures of cassava leaves. It can reliably identify three crop diseases and two types of pest damage, including discerning brown leaf spot with 98 percent accuracy. The app can operate on a smartphone and doesn’t need to send data to the cloud for processing.

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Autonomous robots plant, tend, and harvest entire crop of barley (AI/Autonomous Vehicles - 2017-09 - IEEE Spectrum)

Harper Adams University (UK) researchers have managed to plant, tend, and harvest 1.5 acres of barley using only autonomous vehicles and drones. No human set foot on the field, although remote management was required. Person-free precision farming seems like an increasingly viable way to help keep the world fed.

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Using Precision Agriculture to control herbicide-resistant weeds in Brazil (AI/Precision Agriculture - 2017-07 - PrecisionAg.com)

Multiple species of Glyphosate-resistant weeds are spreading in the main producing regions of Brazil, mainly where glyphosate-resistant crops, such as soybean, corn, and cotton, have been cultivated. Real-time localized weed spraying is based on plant identification by the sensor, and instant application of herbicide only on the target, working 24-hours/day. Critical is the extremely fast speed of the nozzle control valves.

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REVIEW THESE INFORMATIVE ARTICLES FROM 2016 – AND READ THOSE THAT INTEREST YOU

Precision Farming: Key technologies & concepts (AI/Precision Agriculture - 2016-01 - CEMA)

Precision Farming is about managing variations in the field accurately to grow more food using fewer resources and reducing production costs. All aspects of the environment – soil, weather, vegetation, water – vary from place to place. And all these factors determine crop growth and farming success. The technologies used include: High precision positioning systems (like GPS, for navigation and spraying control with 2 cm accuracy); Automated steering systems; Geomapping (maps showing soil type, nutrient levels, etc); Remote sensing (data to evaluate soil and crop health – moisture, nutrients, compaction, crop diseases); Integrated electronic communications between components – tractor and farm office or dealer, spray can and sprayer); Variable rate technology (Adapting seed or fertiliser according to the exact variations in plant growth, or soil nutrients and type within cm).

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