Agriculture Software Development

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Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client

R&D Lab for agriculture software development

  1. 1

    Set up a scrum team

    We set up a scrum team for your project to start as soon as you have an idea and high-level requirements for your solution

  2. 2

    Conduct user research

    Our team cooperates with your specialists to begin user research and come up with technical requirements to meet users’ needs

  3. 3

    Design the interface

    Our UX/UI team works with technical experts to sketch a user-centric interface and prepare a showcase for your main stakeholders

  4. 4

    Develop your PoC

    We develop and show off a PoC with core features to receive fast feedback and test the solution on real users to make further improvements

  5. 5

    Ramp up the team

    After your PoC has been tested and validated by end customers, we ramp up the team and build a fully working solution

  6. 6

    Deliver continuously

    After releasing the first version of your product, we continue to deliver improvements and updates according to your schedule

1

Set up a scrum team

We set up a scrum team for your project to start as soon as you have an idea and high-level requirements for your solution

2

Conduct user research

Our team cooperates with your specialists to begin user research and come up with technical requirements to meet users’ needs

3

Design the interface

Our UX/UI team works with technical experts to sketch a user-centric interface and prepare a showcase for your main stakeholders

4

Develop your PoC

We develop and show off a PoC with core features to receive fast feedback and test the solution on real users to make further improvements

5

Ramp up the team

After your PoC has been tested and validated by end customers, we ramp up the team and build a fully working solution

6

Deliver continuously

After releasing the first version of your product, we continue to deliver improvements and updates according to your schedule

PoC to transport heavy agricultural machinery

Watch the video to learn how we applied our software development in agriculture expertise to built a route optimization solution to deal with all the risk factors involved in transporting oversized and overweight agricultural machinery. Combining location technologies, mapping data, and machine learning algorithms, users can plan routes, track heavy machinery in real time, and easily estimate the transit costs for oversized agricultural equipment.

Develop and validate innovative solutions for agriculture

Advanced technologies for agriculture custom software development

Success storiesView all case studies

Client reference 

“We started with a small agile team to develop several MVPs. Then we scaled to the whole product development lifecycle. Intellias gave us five dedicated recruiters to search for candidates, making me feel that we are one team working together on a daily basis. When you need dedicated engineers, Intellias is one of the top companies in Ukraine. They have a big pool of talent already, all with an international culture. This helped me select the right candidates and made my life so much easier.”

Digital Delivery Manager , Multinational agricultural corporation

R&D lab for sustainable farming

We helped a multinational AgriTech software company establish a Digital Innovation Lab to build and validate solutions at scale. Our multiple R&D teams develop technologies that empower growers to boost farm productivity and efficiency, use agricultural resources more sustainably, ensure safety in growing and harvesting practices, and maximize crop yields. We also delivered a solution for crop chemical manufacturers to control the impact of their operations.

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Farm management system

The Intellias R&D team helped a leading agriculture software company develop a complex farm management system. This system gives growers a clear picture of their farming operations by tracking in-field activities, monitoring weather conditions, and planning crop protection measures. Crop producers can use this system to better manage their harvests, plan yields, and get recommendations for the right crop varieties, planting schedules, fertilizer types, and more.

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Horticulture lighting for vertical farming

We helped a global indoor and outdoor lighting solutions provider develop a horticultural lighting solution that uses artificial light to automatically illuminate plants, improving their growth and ensuring the production of healthy food with efficient use of land and resources. Urban farmers can use this solution to optimize climate conditions, analyze crops with image recognition and video monitoring, and measure and adjust the temperature, carbon dioxide, and humidity levels in greenhouses.

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Weather prediction using GIS

We helped a leading OEM provider of remote environment and weather monitoring solutions develop a GIS-based system for disaster management and weather prediction. This system is installed on hardware stations that collect data on weather conditions in dangerous and hard-to-reach areas. It transmits critical data via cellular networks and satellites and is used by governments and environmental agencies at all levels in the US, Canada, Mexico, and South America.

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Drone imagery analysis for crop monitoring

The Intellias R&D team has built a web-based application to collect drone images of trial plots for investigation of crop conditions and homogeneity. The app conducts a thorough assessment based on trial data and matches drone images with additional satellite images. Finally, the app saves the assessment in an appropriate format, overlays it on the field map as an additional layer, and uploads results to a huge database to compare results and predict growth.

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Agriculture custom software development for competitive farming

Traceability and automation in agriculture

Artificial intelligence offers farmers a path to the widespread automation of manual work. For example, navigation systems can automatically guide machinery to collect crops after receiving notifications from farm management systems about weather and soil conditions. Drones are already being adopted by farmers to collect field images. They can automatically monitor, irrigate, and fertilize crops while minimizing human error and effort.


Blockchain technology brings security to agriculture supply chain. Intellias can help an AgriTech software company implement distributed ledger technology to gain transparency at each stage of product transportation and ensure traceability of product origins. Blockchain technology for agriculture can help detect fraud and deliver healthy products to customers while smart contracts can simplify the purchase procedure of equipment.

Mapping and GIS agriculture solutions

Today, farming relies on location and geographical data. Application of GIS to agriculture lets AgriTech software companies conduct spatial analysis of farmlands and create detailed visual representations for further analytics and data-driven decisions on crop management. GIS is critical to identifying early signs of soil erosion, making precise crop yield estimates, and conducting detailed risk assessments to secure farms against floods, wildfires, and droughts.


Intellias keeps its agriculture custom software development focus on mapping and navigation solutions. We can help an AgriTech software company develop accurate maps for farm fields, crop yields, and soil moisture. Using our experience in agriculture software development services and expertise in scaling engineering capacity, AgriTech companies can develop technologies to help farmers tackle the challenges of climate change and a growing demand for food.

Agriculture sensors and irrigation systems

Innovations in agriculture would not be possible without enough data collected from the fields. IoT agriculture software solutions provide plenty of opportunities to collect data on crops, soil, and weather conditions. Striving to become a pioneer in agriculture custom software development, almost every AgriTech software company is trying to achieve competence in remote sensing to provide farmers with detailed digital representations of their fields.


Agriculture custom software development and IoT sensors may help farmers solve challenges in various business areas. Watering systems use soil parameters collected by IoT sensors to plan irrigation of fields and use resources wisely. Our software development in agriculture expertise helps clients implement soil monitoring systems for smart irrigation powered by machine learning, IoT, and location-based services to reduce operational expenses and optimize yields.

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