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Improving Crop Health with a Smart Disease Management System

Vertex IT Systems partnered with Teleplant Doctor to develop an AI-powered plant disease management system. By integrating drones, IoT sensors, and advanced analytics, the platform enables early detection, real-time monitoring, and accurate treatment recommendations. This smart agricultural technology helps farmers reduce crop losses, improve overall plant health, and make data-driven decisions efficiently.

    Goals Set for Vertex IT Systems

  • Develop a single plant disease management system for early detection and timely intervention.
  • Integrate drones, IoT sensors, and satellite data for real-time crop health monitoring.
  • Enable mobile-first access for farmers in remote and low-connectivity regions.
  • Use machine learning to predict seasonal disease outbreaks and provide actionable treatment suggestions.

    Solutions Delivered

  • Built an AI-powered plant disease management system for instant diagnosis and scoring.
  • Integrated drone and IoT sensor data for crop health insights and predictive analytics.
  • Developed an offline-first mobile app for farmers to access the platform anytime, anywhere.
  • Implemented multilingual support to effectively serve diverse farming communities.
  • Delivered scalable cloud infrastructure with secure storage, analytics, and AI recommendations.

    Challenges

  • Manual crop inspection caused delays in disease detection and treatment.
  • Fragmented data from drones, sensors, and reports hindered decision-making.
  • Limited connectivity and lack of mobile access reduced platform adoption among farmers.
  • Absence of predictive tools made it difficult to anticipate seasonal disease outbreaks.

Results Obtained

Early detection enabled a 60% reduction in yield loss and 90% faster disease diagnosis through the plant disease management system.

Mobile-first and multilingual access led to high adoption rates, reaching over 85% of target farmers.

Integrated drone, sensor, and AI analytics improved treatment accuracy by 60% and enhanced overall operational efficiency.

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