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KVK Number: 87456346
Address: Amstelveen, Netherlands
Operating within a globally prominent business group, our client is a leader in the agricultural sector with decades of expertise in cultivating premium teas, including CTC, Orthodox, Organic, and Green varieties, along with Rubber and Pepper. With over 3000 hectares of plantation area and a presence in more than 28 global businesses, the organisation is committed to sustainable agricultural practices and high-quality production.
Early Detection of Crop Issues: Pest infestations, nutritional deficiencies, and diseases were difficult to identify promptly, often leading to compromised yields and quality.
Green Leaf Harvesting Optimization: Efficient workforce allocation across vast plantations was hindered by a lack of insights into green leaf intensity distribution.
Tea Quality Prioritization: Identifying and prioritising the harvesting of areas rich in 2 leaves and 1 bud—a key factor for premium tea quality—remained a persistent bottleneck.
These challenges required a strategic intervention to ensure productivity, quality, and resource optimization.
In collaboration with Reizend, Crux Digits introduced an AI-powered solution tailored to the client’s unique needs.
Advanced Crop Monitoring: AI systems analysed high-resolution images and sensor data to detect pest infestations, nutritional deficiencies, and other issues. Predictive models based on weather patterns enabled proactive interventions to mitigate risks.
Precision Workforce Allocation: Using drone imagery and AI, the system identified plantation areas with varying green leaf intensities. Real-time recommendations facilitated optimal deployment of the workforce, focusing on areas with the highest yield potential.
Quality Enhancement: The AI system pinpointed regions rich in 2 leaves and 1 bud composition, ensuring these high-quality leaves were prioritised during harvesting. Detailed insights empowered plantation managers to make data-driven decisions swiftly.
Data Collection: High-resolution drone imagery and plantation data were collected and integrated into the AI platform.
AI Model Deployment: The AI solution was fine-tuned to analyse data, identify patterns, and provide actionable insights in real time.
Training: Plantation managers and workers were trained to utilise AI-driven recommendations effectively, ensuring seamless integration into existing workflows.
Our AI-powered solution revolutionised the client’s tea plantation operations, addressing critical challenges in crop monitoring, workforce allocation, and quality optimization. By leveraging technology to enhance precision and productivity, the client achieved substantial improvements in yield, quality, and operational efficiency.
This case exemplifies how cutting-edge AI solutions can transform traditional agricultural practices, paving the way for sustainable growth and innovation.