iNaturalist:
Sugar maple spotting slows as Canada's fall color fades
iNaturalist:
Red oak spotting slows down as fall colors fade
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This fuzzy forest moss is suddenly everywhere in Canada
iNaturalist:
Milkweed sightings stay high across Canada as autumn sets in
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Invasive buckthorn sightings surge across Canada this week
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Pokeweed sightings dip slightly as fall observation seaso...
iNaturalist:
This weedy wetland plant is everywhere on iNaturalist this week
iNaturalist:
Eastern redcedar is having a moment on iNaturalist this week
iNaturalist:
Sugar maple spotting slows as Canada's fall color fades
iNaturalist:
Red oak spotting slows down as fall colors fade
iNaturalist:
This fuzzy forest moss is suddenly everywhere in Canada
iNaturalist:
Milkweed sightings stay high across Canada as autumn sets in
Agriculture students learn farming with sensors and AI, not just books
OpenAlex · 2026-10-08
Researchers propose a teaching framework that has agriculture students practice using IoT sensors, GIS mapping, and AI tools to analyze real farm data, following a six-step cycle from question to reflection. The goal is to build data literacy and decision-making skills for future farmers and agronomists.
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The model structures practical classes around a six-stage cycle: Question, Data, Analysis, Decision, Presentation, Reflection
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Students use IoT sensors, GIS, remote sensing, digital monitoring, and AI tools with real or simulated agrotechnological data
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The approach targets higher agricultural education and aims to link theory with hands-on decision-making skills