Farming future
AI-Powered Solutions for Sustainable Precision Agriculture
Experts in sustainable precision agriculture, we specialise in science and technology that harnesses AI to provide trusted data processing and analysis. Our innovative solutions enable farmers to make informed, sustainable decisions for optimal agricultural management.
Mutus Tech
Pioneering the Future of Agriculture
Mutus Tech is at the forefront of applying advanced technologies and algorithms in modern farming. Collaborating with farms across various regions, we are building sustainable precision agriculture systems using cloud architecture, IoT, big data, and AI.
Our mobile solution integrates high-efficiency farming modules—covering soil health, fertiliser management, and Integrated Pest Management (IPM)—core elements in shaping the future of agriculture.
Precision farming
Growing Smarter, Growing Better
AI-Driven Precision in Crop Lifecycle Management
The AI Crop Management System by Mutus Tech integrates advanced data analytics and AI models to manage every stage of the crop lifecycle with precision. This system provides intelligent decision support, especially for optimising fertiliser timing and dosage, minimising environmental impact, and enhancing crop health.
By analysing multidimensional data in real time, the AI models generates yield forecasts and delivers actionable insights for precision farming practices. Our system intelligently adapts its recommendations to diverse agricultural environments, providing farmers with tailored, data-driven guidance to enhance both crop productivity and environmental resilience.


Intelligent Fertiliser Management
The global increase in food production has relied heavily on fertilisers, yet their overuse has led to many issues, like soil acidification, groundwater contamination, and elevated emissions of ammonia and greenhouse gases (N₂O, CO₂, and CH₄).
Mutus Tech’s AI-driven, climate-smart fertiliser management system seamlessly adapts to diverse farm conditions, from soil quality to varying climates. Harnessing extensive agricultural and environmental data, it powers a mobile-cloud platform for Sustainable Fertiliser Management (SFM). This intelligent system enhances fertiliser application efficiency across different farm types, balancing optimal crop yields with minimal environmental impact.

AI-Enhanced Climate Smart IPM Solution
Our Climate-Smart IPM solution combines adaptive AI with advanced data fusion to deliver comprehensive, sustainable pest management. The AI models adapt to field conditions and pest behaviours, enhancing accuracy in pest detection, density analysis, and threshold monitoring. This approach empowers farmers to make informed, environmentally conscious pest control decisions, designed to maintain ecosystem health while optimising agricultural productivity.
Detection & Identification
Using advanced PestNet models, our system enables rapid pest detection and identification. Lightweight and optimised for mobile devices, it adapts to real-time conditions, providing high accuracy even in low-resource settings.
Quantification & Analysis
The solution integrates pest thresholds and regional resistance data, offering precise pest density predictions. This approach enhances resilience by factoring in regional and climate-related pest behaviours.
Decision Support
Leveraging the latest threshold research and regional resistance insights, the system provides context-aware recommendations for pesticide use, optimising the effectiveness and sustainability of pest control practices.
Farming Data Archives
Our archive holds over 50,000 labelled images of key crop pests from UK farms, with continuous updates from ongoing R&D. Additionally, it includes more than 300,000 historical pest images from Chinese farms, forming a comprehensive data foundation for our AI-driven pest management solutions.
Our data warehouse maintains an ongoing, multi-regional soil sample archive, capturing varied soil conditions with rich contextual details such as environmental factors, crop types, and land use. This comprehensive dataset offers a holistic perspective on soil health dynamics.
Our research includes regional analyses on resistance patterns across 45 commonly used pesticides, focusing on crops that undergo continuous cultivation.
Farm Management
Offers real-time data and intelligent suggestions, enabling farmers to monitor and optimise overall farm operations.
Fertiliser Management
Integrates soil and climate data to provide tailored fertiliser recommendations, enhancing crop growth efficiently and sustainably.
IPM
Utilises AI-powered pest identification and resistance analysis to help farmers swiftly recognise and control pests.
Practical Tools
Includes an AI assistant, real-time pest and disease identification, and an agricultural knowledge base, delivering expert support and information on demand.
Core Features
AI IPM
Combines AI-driven insights and real-time pest monitoring, enabling precise, environmentally friendly pest control strategies that minimise chemical use.
LLM-powered Decision-Making
Leverages large language models to enable data-driven decision support, improving the accuracy and efficiency of farm management strategies.
Yield Prediction
Utilises multi-source data fusion and AI analysis to deliver accurate crop yield predictions, aiding farm management and market planning.
Pest Detection
A mobile-based solution enabling rapid, precise identification and quantification of key wheat pests, significantly enhancing crop protection and response efficiency.
Smart Farm Management
A comprehensive, modern platform that integrates farm data to support informed decision-making and overall farm operations.
AI Fertiliser Management
A holistic mobile-cloud platform tailored for efficient fertiliser application, optimising yield while reducing environmental impact across diverse farm types.