80 lines
4.0 KiB
TypeScript
80 lines
4.0 KiB
TypeScript
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export type UseCase = {
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slug: string;
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heroImage: string;
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image: string;
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image1: string;
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image2: string;
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title: string;
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description: string;
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challenge: string;
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solution: string;
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outcome: string;
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};
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export const useCases: UseCase[] = [
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{
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slug: "cities-communities",
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heroImage: "/images/png/challenge-2.png",
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image: "/images/png/citiy-1.png",
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title: "Cities & Communities",
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image1: "/images/png/challenge-1.png",
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image2: "/images/png/impact.png",
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description:
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"Smart irrigation systems empower city managers to optimize water use across urban landscapes, balancing green sustainability with infrastructure efficiency.",
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challenge:
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"City park departments often overwater trees due to fixed irrigation schedules, wasting 40–50% of water annually. Drought conditions and budget constraints make this approach unsustainable.",
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solution:
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"Whispering Tree sensors monitor soil moisture and weather data in real-time, allowing AI-driven, demand-based irrigation that ensures trees receive just the right amount of water.",
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outcome:
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"Cities achieve up to 45% water savings, reduce maintenance costs, and meet sustainability goals—while keeping parks greener, healthier, and more resilient.",
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},
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{
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slug: "agriculture",
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heroImage: "/images/png/hero-3.png",
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image: "/images/png/thimbnail-3.png",
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image1: "/images/png/challenge-3.png",
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image2: "/images/png/impact-3.png",
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title: "Agriculture",
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description:
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"Farmers and agronomists use data-driven irrigation control to improve crop yields, save resources, and ensure resilience against climate variability.",
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challenge:
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"Traditional irrigation methods often lead to water stress or over-irrigation, reducing crop quality and yield—especially in areas facing unpredictable rainfall.",
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solution:
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"IoT sensors continuously monitor soil and climate conditions, providing precise irrigation timing and volume recommendations. This reduces water usage while improving root-zone health.",
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outcome:
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"Farmers see up to 20% higher yields, 30% water savings, and healthier soils—creating a more sustainable agricultural model.",
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},
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{
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slug: "research",
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heroImage: "/images/png/hero-2.png",
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image: "/images/png/thumbnail-2.png",
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image1: "/images/png/impact-5.png",
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image2: "/images/png/impact-6.png",
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title: "Research",
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description:
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"Researchers and environmental scientists use continuous, high-frequency data to gain deep insights into tree physiology and ecosystem patterns.",
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challenge:
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"Field research often lacks consistent, real-time data on soil moisture and tree health—making long-term ecological studies difficult and data accuracy inconsistent.",
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solution:
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"Whispering Tree’s sensor network collects continuous measurements, allowing automated data logging and cross-site comparison of environmental variables.",
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outcome:
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"Research teams save time on manual sampling and gain access to reliable datasets for modeling tree-water relationships and predicting ecosystem responses.",
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},
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{
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slug: "forestry",
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heroImage: "/images/png/h-f.png",
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image: "/images/png/4-f.png",
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image1: "/images/png/f-2.png",
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image2: "/images/png/f-1.png",
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title: "Forestry",
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description:
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"Forest managers leverage IoT-based environmental intelligence to monitor forest health and protect biodiversity through early stress detection.",
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challenge:
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"Large forest areas are difficult to monitor manually, leading to undetected signs of drought stress, pest outbreaks, and reduced growth.",
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solution:
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"Networked sensors collect microclimate and soil data across different forest zones, helping managers track water stress, tree vitality, and regeneration progress in real-time.",
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outcome:
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"Forestry departments reduce monitoring time by 50%, prevent forest loss through early alerts, and improve reforestation success rates using precise environmental data.",
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},
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];
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