Virus Shield Biosciences

See how Kaz Software built an AI-powered drone platform transforming crop protection through precision automation and machine learning.

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Traditional crop disease control was slow, manual, and wasteful. Virus Shield Biosciences aimed to automate detection and treatment through a drone-based, AI-driven system that could identify diseases in real time, apply pesticides only where needed, and save both cost and labor.

The Need

Virus Shield Biosciences needed an AI-powered precision agriculture platform combining real-time drone analytics,

GPS-based spray automation, and large-scale adaptability.

• Detect crop diseases early through ML and video analytics

• Automate precision spraying to reduce pesticide waste

• Optimize treatment timing for maximum yield

• Scale globally across crop types and agricultural conditions

The Solution

We partnered with UK-based Virus Shield Biosciences to build an AI-powered drone platform that detects crop diseases in real time and automates targeted spraying. Using CVAT-labeled datasets and Detectron2, the system analyzes live drone footage, identifies symptoms, maps infected zones via GPS, and issues instant alerts. Its adaptable ML architecture supports diverse crop types and improves continuously with new data.
Through DJI SDK integration, the platform automates spray planning and execution—calculating pesticide needs, generating optimized flight paths, and activating sprayers only over diseased areas. This reduces pesticide waste, prevents yield loss, removes most manual scouting, and has delivered measurable impact: up to 70% pesticide reduction and 5,000+ labor hours saved.

The Challenge

Building an AI model that could identify multiple crop diseases in real-world conditions, while processing drone video in real time, required deep ML expertise and optimization for edge computing. The integration with DJI drones had to ensure seamless flight automation and precision spray control.

• Model Accuracy

Train AI models to detect diverse diseases under varying light and crop conditions.

• Edge Processing

Enable real-time ML inference directly on resource-limited drone hardware.

• Precision Automation

Integrate GPS-based spray controls that target infected zones efficiently.

• Global Scalability

Adapt ML models for diverse crops, climates, and farming practices worldwide.

The Partnership

Our partnership with Virus Shield Biosciences was driven by innovation and impact. Working with agricultural scientists and drone engineers, we co-created an end-to-end platform that detects, diagnoses, and treats diseases autonomously.
The system was built using Python, Detectron2, CVAT, Node.js, React, DJI SDK, AWS Lambda, Google Maps API, and MongoDB — uniting AI analytics, spatial intelligence, and automation into a single ecosystem.

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Quality management

Kaz Software is a quality-driven software development company, committed to setting and maintaining high standards in engineering practices. We follow proven processes and comply with established quality and information security frameworks to ensure every solution is robust, secure, and built to last.

Quality management and information security compliance

Rigorous testing and validation at every development stage

Proactive system performance monitoring and coordination

“We set out to make farming smarter, not harder. By fusing AI and drones, we gave farmers eyes in the sky and precision in their hands — turning sustainability into reality.”