The form has been successfully submitted.
Please find further information in your mailbox.
Innowise has designed an agriculture-centered software that automates farming routines.
The client, a large-scale livestock farming enterprise, operates within the agricultural sector. Besides raising cattle, the farm uses innovative techniques to optimize productivity and maintain high standards for animal health and nutrition.
Detailed information about the client cannot be disclosed under the provisions of the NDA.
Our client lacked a coherent system that could precisely manage feed ingredients, recipes, and feeding schedules across their entire herd. In particular, they experienced high livestock feed costs, accounting for approximately 50% of their total operational expenses. The client needed a way to monitor and manage cattle groups, track feed usage, and generate detailed reports so they could analyze nutrition efficiency and optimize feeding plans.
Also, the client required a more integrated approach to accurately tracking field activities and fleet operations. Without proper tools to monitor farming fields, they were unable to merge and visualize various data layers effectively, which limited their ability to make data-driven decisions on crop management. Additionally, their fleet management was inadequate, lacking real-time visibility into performance metrics. This resulted in increased downtime, suboptimal asset utilization, and higher maintenance costs.
Our client wanted an insightful IoT-based platform to manage cattle more precisely, ensure better crop management, and monitor fleet performance. They commissioned Innowise the task to build a solution that could integrate just fine with their current operations, offer real-time data visibility, and improve decision-making accuracy.
We built an all-around platform that automates every step of the farming cycle, from real-time cattle tracking to fleet management.
Our project team developed a comprehensive suite of tools to streamline feed management, optimize livestock nutrition, and oversee ingredients, recipes, and premixes. For instance, farmers and agronomists can track ingredients, dry matter percentage, actual mixer load, and more — critical for cost control and a well-balanced nutritional mix for livestock.
Also, we implemented a module that allows farm managers to assign recipes and set daily feed requirements based on the needs of different cattle groups. Users can set specific nutrition timeframes, portion weights (actual and dry), and other parameters to optimize feed delivery and reduce wastage.
For crop management, we developed the module that merged, visualized, and analyzed various data layers so that a better decision could be made. Our specialists designed the IoT-driven system to deliver a thorough view of the farm’s agronomic activities through the network of sensors — resulting in optimized crop yields and reduced input costs. It provides a clear understanding of field conditions with multiple data layers, including soil composition, moisture levels, crop health, and weather patterns.
We implemented advanced tools to merge various data sets — such as elevation data, speed metrics from machinery, and satellite imagery — into a cohesive visual representation. This integration allowed for more informed decision-making through custom maps and layers, particularly when planning planting, irrigation, and harvesting schedules.
We also created a robust task management feature that allows for creating and assigning tasks to specific field zones. Users can create zones based on soil type, moisture content, or crop type and assign targeted prescriptions for each area.
Using a fleet management module, the client got real-time insights into the performance of all farming machinery. To prevent unexpected breakdowns and extend equipment lifespan, we developed a real-time machine health monitoring system. It continuously tracks engine temperature, oil pressure, and fuel levels through the system of sensors, alerting operators to potential issues before they become critical.
Our farm management software solution provides detailed fleet operations reports that give insights into vehicle utilization. Data-driven reports enable farm managers to identify underutilized assets, calculate fleet performance, and optimize equipment usage.
To further minimize downtime and enhance fleet performance, we implemented a customer alert system that provides real-time notifications on machine statuses and potential issues.
Frontend
JavaScript, React, React-Query, React-Hook-Form, Redux-Form, Axios, Redux, Recompose, Reselect, Lodash, Material-UI, GraphQL
Backend
Delfi, Node.JS
IoT
MQTT, CANBUS, ISOBUS, NTRIP, AGForm-3D, Survey/Design, various sensors and controllers
Database
PostgreSQL, MongoDB
DevOps
AWS
We followed a Scrum-driven development process with bi-weekly sprints throughout the project, allowing us to deliver a high-quality solution within the client’s budget and timeframe.
Our specialists used a cloud-based architecture that enabled real-time data access and synchronization across multiple IoT devices and locations so that farm managers always have the most up-to-date information. By integrating IoT devices with feed mixers and other equipment, the Innowise team improved non-disruptive data flow and automated feed mixing processes for reduced manual input and error rates. Also, our team utilized advanced analytics tools to sift through data from multiple sources, delivering practical insights that enabled smarter, data-driven decisions.
After deploying the farm management software, we offered ongoing support and maintenance to promptly resolve any issues and keep the system updated with the newest features and security enhancements.
1
Project Manager
3
Back-End Developers
3
Front-End Developers
1
UI/UX Designer
1
QA Engineer
Innowise has built a sophisticated agriculture platform that brings connectivity to every phase of the farming cycle, from cattle feeding to fleet maintenance.
Particularly, the feed management module allowed the client to streamline livestock nutrition, resulting in better control over ingredients, recipes, and schedules. Additionally, by ensuring that livestock received the optimal total mix ration, the farm saw an improvement in animal health and weight gain.
With the ability to merge and visualize multiple data layers — such as soil composition, crop health, and application layers — farm managers can make more informed decisions about planting, irrigation, and harvesting. As a result, crop yields increased, while input costs for fertilizers and pesticides were reduced through targeted, zone-specific applications.
The fleet management module delivered substantial benefits in terms of machine health monitoring and operational efficiency. Thus, the real-time monitoring of machine metrics and proactive maintenance scheduling reduced unplanned downtime.
37%
reduced feed waste
15%
influx in crop yields
25%
extended machinery lifespan
Having received and processed your request, we will get back to you shortly to detail your project needs and sign an NDA to ensure the confidentiality of information.
After examining requirements, our analysts and developers devise a project proposal with the scope of works, team size, time, and cost estimates.
We arrange a meeting with you to discuss the offer and come to an agreement.
We sign a contract and start working on your project as quickly as possible.
© 2007-2024 Innowise. All Rights Reserved.
Privacy Policy. Cookies Policy.
Innowise Sp. z o.o Ul. Rondo Ignacego Daszyńskiego, 2B-22P, 00-843 Warsaw, Poland
Thank you!
Your message has been sent.
We’ll process your request and contact you back as soon as possible.
Thank you!
Your message has been sent.
We’ll process your request and contact you back as soon as possible.