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Farming future

Sustainable Precision Agriculture Application Technology And Data Analysis

Specialising in science and technology in the field of sustainable precision agriculture
Trusted data processing and analysis solutions

Mutus Tech

Towards the future agriculture

Mutus Tech explores applications of advanced technologies and algorithms in modern farming. We are working with modern farms in many regions to develop sustainable precision farming application systems based on cloud architecture, IoT, big data and AI technologies.

Our mobile application solution integrates various high-efficiency intelligent farming modules such as soil health management, fertiliser decision-making, and IPM, which will be the core parts of future agriculture.

Precision farming

Soil Health

Intelligent Fertilizer Management

The widespread use of fertiliser has greatly contributed to the huge increase in food and feed production worldwide. However, the extensive use of fertilisers has contributed to soil acidification, pollution of aquifers and increased emissions of ammonia (NH3) and greenhouse gases (notably N20, CO2, and CH4) to the atmosphere.

We are developing an innovative farmer-oriented fertiliser management approach integrating data from farming activities and environmental information, for delivering an interoperable mobile-cloud system to support SFM.

AI Soil Assessment and Prediction

Excessive use of fertilizers and pesticides seriously affects soil health, resulting in a yearly decline in land arable capacity, increased carbon emissions and environmental pollution.

The intelligent soil health management platform can implement real-time soil sample data analysis and soil data tracking with contextual information and environmental information. Combined with our intelligent pest control system, pesticide contamination can also be accurately assessed and predicted.

Integrated Pest Management

Integrated Pest Management highlights the growth of a healthy crop with the least possible disruption to agro-ecosystems and encourages natural pest control mechanisms.

We explore the technical feasibility of integrating visual and contextual information with advanced data fusion techniques into a cost-effective mobile solution that offers: 1) rapid detection and effective quantification of wheat pests; 2) places pest quantification into context of regionally relevant pest tolerance thresholds; 3) determines whether a pesticide application is advised to use.

Detection and Identification

Rapid detection and effective identification of wheat pests; Lightweight pest detection techniques for low-resource settings;

Quatification and Analysis

Efficient forecasting of accepted PEST thresholds for sustainable management; Robust and effective pest quantification technique in nature scenes;

Decision making

Determination of pesticide application being advised to use; Estimation of the corresponding efficacy of a pesticide for PEST control; Sustainable and efficient soil health management;

Farming Data Archives

Pest data
26602 +

Over 32,000 labelled images of major crop pests being collected from UK farms between 2021 to 2023. The amount of images is still increasing during the R&D activities.  In addition, there are more than 300,000 historical images from cooperative farms in China.

Soil Samples
3000 +

The data warehouse contains time-continuous soil sample data from multiple regions in the UK and China.

The data also includes complete contextual information about each collection point.

Application reports of 45 pesticides to continuously grown crops.

Pesitcide use reports
1 +

KEY TECHNOLOGY

Pest Detection

Rapid detection and quantification of wheat pest by mobile devices

Intelligent Pest Mgt.

Efficient forecasting of accepted pest thresholds for sustainable management

AI Fertiliser Mgt.

Holistic approach for sustainable fertiliser management by a farmer-centred interoperable mobile-cloud system

Smart Farm Mgt.

Modern comprehensive information management platform

AI Disease Mgt.

Integrating UAV and mobile information with multi-scale data fusion techniques into a holistic solution

AI Grain Protein

Fusing UAV-based Multispectral Imagery and Mobile Information for Predicting Grain Yield and Protein Content in Winter Wheat

PARTNERS

University of Sheffield

Among the best in the UK in computer science and information systems. We are working with the Large Scale Data Fusion group in the Department of Computer Science at the UoS.

Ant Data

Providing cutting edge data analytics and visualisation services with latest machine learning techniques. The expert for sourcing, filtering, processing, delivering and managing data.

Velcourt

The leading farming company manages and advises on farms throughout Europe. Formed in 1967 Velcourt is retained by landowners, tenants, working farmers and institutional investors.

Hefei Institutes of Physical Science

The Hefei Institutes of Physical Science (HFIPS) was founded in 2001 and is a large-scale integrative research base within the Chinese Academy of Sciences (CAS).

ADAS

The UK’s largest independent provider of agricultural and environmental consultancy, rural development services, research and development, and policy advice.

Terravost

Coming from an agribusiness management background, Terravost provide the know-how to support agribusiness investment across farmland, operations, value chains and technology.

Harper Adam University

Harper Adams University is the leading specialist university tackling the future development of our planet’s food production, processing, animal sciences, engineering, land management and sustainable business.