Field-Proven Embedded and Display Software Solutions
Our engineers have extensive expertise developing solutions for a wide variety of agricultural implements. Whatever your Agricultural software development need may be, chances are Genova Technologies can do the job.
EXPERIENCED AGRICULTURE TECHNOLOGY DEVELOPERS
We’ve used AWS and Python to design and implement cloud-based fertilizer analysis software, we’ve developed embedded displays using C++ and MATLAB/Simulink; we’ve performed full lifecycle software development that is AUTOSAR compliant for seeding equipment; we’ve used PREEvision, CANApe and CANAlyzer to design and test architecture, design, development and integration of cleaning systems for combine harvesters.
Software Languages, Tools, & Processes
Custom Application Design, Development and Support
Genova designs and develops software applications for commercial, education, government, and medical & health customers, utilizing embedded, application, mobile, web and cloud technologies.
Software Verification & Validation
Genova’s uses rigorous CMMI methodologies for evaluating the correctness and quality of the software throughout the life cycle, ensuring that the outcome of a project meets formal specifications, for a variety of “Safety of Flight” and “Safety of Life” applications.
Genova Technologies, Inc. delivered system architecture and prototyping of a mobile app for a large agricultural customer. This app enables farmers to perform tests and fine-tune their planters in the field. Without this app, a testing and tuning a piece of equipment requires two people, a farmer standing next to the equipment monitoring and making adjustments and a helper in the tractor cab. This app therefore alleviates the need for a second person.
The client produces Intelligent Transportation Systems (ITS) that provide routing, scheduling, dispatch, and health monitoring for transit organizations. These systems are highly configurable and require base code that can be fine-tuned to meet each customer’s specific needs. Genova was responsible for delivering a wide range of feature enhancements, as well as application maintenance, for two products, allowing for greater customization to meet ever-changing transit organization requirements. Genova delivered the following enhancements to the customer
A group of researchers from Kansas State University developed an algorithm to produce nitrogen recommendations that produces high crop yield for growers based on satellite imagery. They started out using drones to prove the algorithm but then found a way to take it to large scale market by leveraging satellite imagery.
Genova has delivered embedded software engineering of an application that allows the combine harvester operator to view machine health and crop health status, as well as adjust harvesting parameters, in order to improve harvesting efficiency. Genova utilizes a Scrum Agile software development methodology for all work completed on this project.