Maantic CarbonCrop AI

Overview

Agriculture operations face fragmented workflows, manual data collection, and delays in decision-making due to disconnected systems. Farmers and R&D teams struggle with real-time plant health monitoring, compliance tracking, and efficient coordination between field, lab, and market—leading to productivity loss, higher costs, and missed sustainability goals.

Key Features and Functionality

• Automation & Smart Services – Looping workflows to streamline sample registration, lab scheduling, and compliance approvals. 
• Real-time Data Integration – Weather and pest alerts integrated into dashboards for proactive action.
• AI-powered Plant & Field Analysis – Image recognition for plant disease detection, lab field inspection, and AI-driven recommendations.
• Centralized Data Management – Field trials, yield performance, and resistance studies consolidated for analysis. 
• Traceability & Compliance – Track carbon credits, sustainability metrics, and regulatory compliance across the supply chain.  
• Connected Collaboration – Seamless communication between farmers, field workers, labs, and R&D teams via mobile and responsive interfaces.

Benefits and Business Impact

• Faster Decisions – AI insights reduce dependency on manual inspections, enabling quicker interventions. 
• Cost Savings – Automation minimizes repetitive tasks and reduces operational overhead. 
• Sustainability – Better compliance and traceability support carbon programs and eco-certifications. 
• Productivity Gains – Centralized, real-time data improves crop yield and optimizes R&D efforts. 
• Stronger Farmer Engagement – User-friendly, mobile-first design empowers farmers with instant access to insights.