Precision Agriculture for Yield Optimization

Client: A large-scale grain farm (e.g., wheat, corn, or rice)

Challenge: The client struggled with optimizing crop yield due to uneven field conditions, unpredictable weather, and insufficient insights into crop health. Traditional monitoring methods were time-consuming and lacked real-time data.

Solution: Clame provided a comprehensive drone-based data management solution that enabled real-time aerial monitoring of crop health using multispectral imagery. The drone data was analyzed to create detailed maps of crop stress, irrigation needs, and pest infestations.

Results:

• A 20% increase in yield through targeted irrigation and fertilization based on drone data.
• Reduced pesticide use by 30% due to early detection of pest hotspots.
• A time savings of 50% in field inspections and decision-making for the farm management team.