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Intro

JetStyle has created digital and design solutions for green projects for over 6 years now. Our goal is to apply our expertise to help startups, enterprises and government agencies achieve the SDGs. We believe in the power of collaboration on the way to a safer and healthier future.

When technologies and thorough research meet to improve lives of a huge community – this is where we’re most excited to participate and contribute our team’s best competencies. For our latest project we’ve mobilized our development powers and created an app for a weather forecasting service ignitia.

Client background

Climate change has altered the landscape of various ecosystems, and it has significantly influenced the agricultural industry. Developing countries in the tropics are among those that feel the effects of climate change the most. Farmers in countries such as Brazil or Ghana, where a large share of the population depends on rainfed agriculture, struggle to adapt to the changing environment, and existing weather prediction models just don't help.

ignitia offers climate intelligence technologies for farmers across the tropics. The company is not just another weather forecast service – ignitia has its own award-winning climate intelligence approach.

Traditional weather forecasting is often not oriented at the challenges of tropical weather conditions — where weather is driven by smaller scale convection based storms and not cold/warm weather fronts. Therefore different scales of physics need to be considered for accurate weather predictions.

Ignitia’s team includes an R & D and AI laboratory that has invested more than 30 man-years into researching weather with a specific focus on rainfall and climate variability in tropical and subtropical climates such as Brazil and Africa. It’s designed to help farmers plan their agricultural activities according to the seasonal weather specificity. As ignitia uses custom weather models and AI, its forecasts are more accurate than global weather forecasting models.

High resolution:  30 times more granularity than global models
Near-term forecasts for small scales/ individual thunderstorms (nowcasts)
Primarily satellite-based data with little need for ground stations
Designed specifically for tropical zones
Advanced Machine Learning provides continuous improvement

Apart from basic weather forecasting features, ignitia provides relevant information for making essential agribusiness decisions such as crop selection, soil preparation, fertilization, weeding, application of pesticides, etc.

Climate protection effort by ignitia:

0.04%
reduction in fuel cost by avoiding unnecessary transport and inefficient use of machines on wet ground.
0.10%
reduction in machine wear by avoiding unnecessary transport and ensuring more efficient driving.
4.5%
reduction in the cost of fertilizers by identifying the best time to spray using the ignitia forecast.
0.14%
reduction in the cost of seeds by identifying the best time to plant with the ignitia forecast.
Challenge
We started our collaboration
with ignitia in 2022.

Our task revolved around creating a functional app that would highlight all ignitia’s best features on one hand, and provide a smooth and convenient experience for ignitia’s users, on the other hand. At the start of the project we worked with ignitia’s design layouts and future app’s API.

As always, the product development approach was the best idea to deliver target experience to the audience as soon as possible. Let’s see how we did this:

Solution

The product development approach is all about iterative and incremental progress. It means we aim to deliver tangible benefit from the first sprint, and then develop the product with consideration of the client’s feedback. As we develop the product, we keep in touch with the market needs, and as a result, we get a product that’s relevant to the audience.

For ignitia, we started with reinforcing the client’s backend team with our React Native one. Together we built a powerful development tandem. React Native was the most relevant tool for ignitia’s task, as this framework allows creating apps that are compatible with both Android and IOS.

Another element of the task was to develop the app’s design system from the client’s drafts.

There was a lot to consider from the point of view of the client’s feedback. For instance, we tested various versions of how favorable spraying and fertilization periods would look in the app.

These content blocks are incredibly important for farmers. They are exactly what sets ignitia apart from urban-oriented weather forecasting services. That’s why they had to have the perfect UX and information display.

Together with ignitia’s team, we discussed various options: from using emojis or color schemes to adding brief text notes to weather indicators. App navigation was a crucial discussion point as well.

All iterations were tested and evaluated by our target audience – farmers from Brazil and Africa. Thanks to their feedback, we improved the app design so that it fits perfectly with our audience’s needs.

The app features two user flows with different subscription plans; B2C is perfect for separate farmers. When the app is used by corporate customers, the subscription includes advanced statistics.

One of the app’s core features is well-working offline mode: we paid special attention to this feature as it was crucial for the needs of the product’s target audience. Farmers appreciated it a lot as offline mode allowed checking in with the weather forecast in a location where connection could be bad.

Just take a look at the graphics used to view best fertilization periods:

We also made sure all the results of development work would be available for the ignitia team in the future, so we dedicated time to transfer and integrate all deliverables into the company’s development flow. As we were working on the development and design tasks, we created detailed guidelines so that the results of work are easily accessible for any ignitia’s team member. Also, ignitia had our full support when it came to publishing the apps into the stores.

Result

Close collaboration from stage 1 of the process, fast value delivery and business traction – this is what we managed to achieve together with ignitia’s team. After the start of work, we got proof that the product was relevant to the market. ignitia’s subscription plans turned out to be affordable and useful for both agricultural corporations and separate farmers across the targeted locations.

ignitia has won several awards for its unique weather prediction approach, and now the team is working on applying the technology to new markets. This process requires upgrading the app’s infrastructure according to the needs of the new markets.

I’m so happy to be a part of this inspiring growing project. It’s a pleasure to work with the guys – and hopefully we will achieve even more success together in the future.

Julia Bozhko

Developer, JetStyle

Recently, ignitia took part in a project dedicated to enhancing maize production in the Eastern Region of Ghana, Africa. Two methods of the production process were evaluated. One part of the field was irrigated and fertilized according to suggestions by Ignitia; the other one was manufactured according to traditional agricultural practices. The results farmers received with ignitia spoke for themselves; the crops were much healthier than the test sample that used the traditional approach to growing.

Credits
Max Karmatskikh
CTO
Julia Bozhko
React Native Developer
Olga Stepanova
Designer
Mikhail Shaevich
Project Manager
Ekaterina Voronina
Lead Project Manager
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