Revolutionising Tea Cultivation with AI-Driven Precision

AI-Driven Precision in Tea Cultivation

Client Overview

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.

Challenges

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.

Solution

In collaboration with Reizend, Crux Digits introduced an AI-powered solution tailored to the client’s unique needs.

Key Features of the Solution

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.

Implementation

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.

Results

  • Improved Leaf Quality: A 15% enhancement in leaf quality was achieved through precise issue identification and timely interventions. Stringent quality control measures improved overall plantation health.
  • Increased Efficiency: AI-driven workforce allocation streamlined harvesting operations, optimising resource utilisation. The solution resulted in a 30% growth in green leaf harvesting efficiency.
  • Enhanced Yield and Quality: By focusing on areas rich in 2 leaves and 1 bud, the system contributed to a 20% increase in overall yield. Tea production quality improved significantly, aligning with premium market standards.
  • Sustainability and Innovation: The AI-driven approach demonstrated the client’s commitment to sustainable and innovative agricultural practices, setting a benchmark in the industry.

Conclusion

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.