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