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Tag Archives Precision agriculture

Picketa founders, from left: Maxime Dumont, chief operating officer; Dominique Levesque, chief technology officer; Zachary Andersen, chief growth officer; Xavier Hébert-Couturier, chief executive officer.
Crops

Minimizing fertilizer use with in-field plant nutrient analysis

Optical sensing technology scans plant leaves to identify crop nutrient and micronutrient deficiencies in less than five minutes

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A New Brunswick precision agriculture startup has attracted $1.45 million in investment for its real-time nutrient tissue analysis technology. Picketa Systems’ trademarked Leaf Evaluated Nutrient System (LENS) has marked early […] Read more
The option to use fertigation, even in a crop like wheat, may be garnering support with its cost efficiency.
Crops

Finding the fit for irrigation

Precision agriculture systems are enhancing its value in different ways

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Measuring value can range from a storage bin of corn to a load of fertilizer or the return on investment of a tractor. It’s part of farming and it’s becoming […] Read more
Satellite imagery is evolving beyond its current capability of identifying mature fields in green and bare fields in red.
Crops, News

Getting more out of satellite imagery

“Resellers” are reshaping imagery demand and usability

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The demand for overhead imagery continues to gain acceptance. The volume of data gathered is increasing, and the time and learning curves required for analysis by growers and advisers are […] Read more
An example image analysis flow for conventional weed detection algorithms to extract ginger plants from the background and to then identify purple nutsedge. The original image is first transformed into the hue, saturation, and value colour space, before image features such as mean colour channel statistics are calculated, thresholds applied through a deterministic algorithm, resulting in the identification of ginger plant.
Crops, Machinery

What’s next for precision spray application?

It’s AI technologies that incorporate a deeper learning, says Australian expert

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Guy Coleman, precision weed control researcher at the University of Sydney, says incorporating deep-learning capabilities into sprayer artificial intelligence (AI) systems will allow for ever more efficient weed control while […] Read more
One of the weather stations from Maesos Technologies at Schuyler Farms in Norfolk County. Farm manager Dave Petheram uses the climate data it collects to manage frost risk, and also uses the temperature, rainfall and leaf wetness data it provides to make decisions on when to spray fungicides.
Crops

Local data useful for better crop management decisions

Engineering graduates develop technology that helps vineyards and orchards manage fungal and pest pressures

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A Niagara-region start-up is offering field-specific, real-time weather data and spore collection to help farmers with smart fungicide scheduling for orchards and vineyards.  Founded by three University of Waterloo mechatronics […] Read more

Cyber-Savvy Farmer

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