Helmets Labeling Crops

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Helmets Labeling Crops

Helmets Labeling Crops

@CropsHelmets

Helmets will create unprecedented ML-ready labeled datasets for crop type, crop pest & disease, & market prices in the main food production regions in Africa

Earth Katılım Şubat 2021
50 Takip Edilen133 Takipçiler
Helmets Labeling Crops retweetledi
Dr. Catherine Nakalembe
Dr. Catherine Nakalembe@CLNakalembe·
Sharing an old favorite: In this 2020 video for @nasa_eclips, I share my passion for working with farmers around the world, especially in #Africa. I use @NASA satellite data to monitor crops from space, and my love for hiking, photography, and travel supports my work.
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Helmets Labeling Crops
Helmets Labeling Crops@CropsHelmets·
Incredibly proud of what this team accomplished. This is what happens when talented people are given a meaningful mission and refuse to quit.
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Helmets Labeling Crops
Helmets Labeling Crops@CropsHelmets·
Our team didn't just collect data—they pushed through obstacles that would have stopped most projects in their tracks. Long days, difficult terrain, and unwavering commitment to quality.
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Helmets Labeling Crops retweetledi
TED Fellows
TED Fellows@TEDFellow·
What does it take to shape the future? 🌍 🎥 Season 2 of the TED Fellows Film Series is here — featuring innovators turning waste into bioplastics, scientists using satellites to fight hunger, and artists revealing untold stories from around the world. Watch the first 5 films now — and meet the founders of a better future: t.ted.com/RckPaYh
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Helmets Labeling Crops retweetledi
Dr. Catherine Nakalembe
Dr. Catherine Nakalembe@CLNakalembe·
I am absolutely thrilled to share that I have been awarded the prestigious 2022 Al Sumait Prize for African Development! This honor recognizes my research leveraging #EO to improve food security and agricultural livelihoods across Africa. africa.com/the-board-of-t…
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Helmets Labeling Crops
Helmets Labeling Crops@CropsHelmets·
Without ground data to train the machine learning methods that analyze satellite data, assessments may not be accurate for farmers or policymakers making critical decisions in the face of food insecurity or climate change.
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Helmets Labeling Crops
Helmets Labeling Crops@CropsHelmets·
Farm level data collection is integrated with #EO and #ML for near real time maps and crop statistics that feed into planning. The approach captures as many smallholder farms as possible that satellite monitoring is limited on.
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Helmets Labeling Crops
Helmets Labeling Crops@CropsHelmets·
Machakos county agriculture dept. collects information in key stages of crop calendar for planning and advising @kilimoKE on food production. Photo: Mr.Muli Cosmas an extension officer from Kathiani using Helmet GoPro. Field data is key in forecasting and for planning.
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Helmets Labeling Crops
Helmets Labeling Crops@CropsHelmets·
Machakos county extension officers-Kenya used GoPro Hero 8 to collect field monitoring data for reporting of crop conditions and ML crop mapping. There is reduced crop performance due to dry conditions in many areas like Kathiani.
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