Agriculture & Food Industry Solutions

Key Focus Areas

Our platform brings the power of Edge AI to the field, greenhouse, and factory floor-enabling localized decision-making, real-time monitoring, and automation even in low-connectivity environments.

Precision Agriculture

AI models for crop health monitoring, soil condition analysis, and resource-efficient yield optimization.

Smart Irrigation & Resource Optimization

Edge-based water and energy monitoring systems that automate irrigation and reduce costs.

Livestock Health & Anomaly Detection

Behavior analysis and anomaly detection through embedded sensors and machine learning.

Controlled Environment Agriculture

Real-time emissions tracking, microclimate optimization, and intelligent lighting control for greenhouses and indoor farms.

Smart Food Processing & Storage

Real-time tracking of temperature, humidity, and vibration to reduce spoilage and ensure food safety in production and cold chain environments.

Post-Harvest Automation & Analytics

Vision-based quality grading, supply chain optimization, and traceability tools from field to retail.

Case Study

Pathoscan

Accelerating Crop Disease Detection with Pathoscan

The Challenge

Pathoscan aimed to improve early detection of crop diseases using their PathoBox assay kits. Traditional lab-based analysis was slow, requiring expert validation and causing delays in intervention during narrow disease windows.

Our Approach

We collaborated with Pathoscan to build a scalable cloud ML pipeline that processes image data from biochemical assays. Our team implemented advanced image preprocessing, reaction classification, and developed a highly accurate machine learning model for real-time pathogen detection.

Key Results

Achieved 92% accuracy in pathogen detection
Reduced processing time to under 5 seconds
Model demonstrated 91% AUC score, ensuring reliable predictions

Impact

The project laid the foundation for Pathoscan's transition to a field-ready, automated detection tool, reducing reliance on manual interpretation and enabling scalable deployment across farms.

Key Outcomes

Crop Yield Accuracy30%

Reduction in Water & Energy Use40%

Accuracy in Pathogen Detection92%

Reduction in Crop Loss25%

Request Full Case Study

Agriculture & Food Industry Transformation

Edge AI is transforming how farms, food producers, and agri-enterprises operate-enabling real-time decisions, optimizing resource use, and enhancing resilience in the face of climate and connectivity challenges. Our platform brings intelligence directly to the field, greenhouse, and processing floor-empowering operators to act instantly and autonomously.

Transformation Highlights

From Manual Monitoring → To Real-Time AI Insights
From Centralized Data Dependency → To Edge Intelligence
From Generic Solutions → To Configurable, Use-Case Specific Tools
From High-Cost Deployments → To Scalable, Affordable Adoption

Discover Edge AI Products

+30%

Crop Yield Accuracy

-40%

Water & Energy Use

5X

Faster Decisions

-25%

Reduction in Crop Loss

Agriculture & Food Ecosystem Integration

Seamless AI + IoT integration across the agri-food value chain.

Producers

Small and large farms, Indigenous growers, and food co-ops benefit from edge-enabled monitoring and automation tools that require no cloud dependency or extensive IT investment.

Agri-Food Processors

Easily embed our platform with temperature sensors, storage equipment, and QA systems to improve traceability, reduce spoilage, and ensure regulatory compliance.

AgTech Startups & Solution Providers

Leverage our SDKs and APIs to rapidly integrate AI features into your platforms, including predictive maintenance, yield forecasting, and real-time crop diagnostics.

IoT & Sensor Vendors

Our platform's modular architecture allows direct plug-in of your sensors and controllers-bridging data collection with localized AI processing.

Distributors & Logistics Operators

Use AI models for cold chain monitoring, inventory optimization, and quality control in transit-supporting safety and transparency from field to shelf.

Academic & Research Institutions

Collaborate with our platform as a testbed for applied research in sustainable agriculture, edge computing, and climate-smart food systems-supporting innovation, commercialization, and workforce development.