When Ash From Crop Fires Reached His Home, This 16-YO Led 30 ‘Student Guardians’ To Predict Fires Using AI

SATARK is a climate-tech initiative designed to prevent crop-waste fires before they begin. Reezaal realised that simply detecting fires was not enough. Authorities also needed to know who might burn, where burning could happen and why farmers might choose it. That information could help them offer useful alternatives in time.

The system combines two main tools. Low-cost IoT “sentry nodes” measure local weather, including wind direction, air pressure and moisture. A prediction model called “smart burning windows” studies satellite images, crop data and weather conditions. NDVI measurements show when fields change from green to harvest-ready brown.

Together, these tools identify fields nearing harvest and estimate where smoke could travel if waste is burned. SATARK can also assess whether burning at a particular time could worsen pollution nearby. The project is being developed by Reezaal and mostly student volunteers, with village connections through Student Guardians.

SATARK has a network of over 30 Student Guardians helping connect the initiative with farmers and villages. This is significant because the project is not relying only on computer models or satellite images. It also needs people who can help link its predictions with farming communities on the ground.

Reezaal leads a wider team made up mostly of student volunteers aged 15 to 18. These students support a project involving field visits, coding and research calls. The Student Guardians provide an important community connection, helping SATARK understand local farming situations and communicate with people who may soon need to clear crop waste.

The initiative began while Reezaal was still in school. He worked on SATARK alongside preparing for his board exams. The article does not give a separate total for every volunteer, but it clearly states that the Student Guardian network contains over 30 people.

Farmers often burn leftover crop stalks because it is the cheapest and quickest way to prepare a field. Clearing just one bigha by hand can cost around Rs 600, while burning costs almost nothing. Farmers may also have very little time to prepare for the next crop, making a fast solution especially important.

Machines can make harvesting faster, but many farmers do not have access to equipment that clears the remaining waste. Other options, such as products that help stalks break down naturally, may take time to arrive and work. Unpredictable weather makes the timing problem harder.

For farmers worried about both cost and planting deadlines, burning can seem like the easiest option. SATARK aims to help authorities intervene before a fire starts, offering alternatives suited to the farmer’s situation. The key challenge is not simply identifying a fire, but making another choice affordable and practical.

When crop fires spread smoke, nearby families can be left breathing it in. Reezaal noticed that the smoke was affecting people living close to burning fields. The problem is especially difficult because smoke can move beyond the field where the fire began, reaching homes and other shared places.

A fire may be spotted, reported and investigated only after it has already caused damage. SATARK’s local weather readings help estimate where the smoke could travel. Wind direction, air pressure and moisture can indicate whether smoke might disperse or drift toward nearby homes and public spaces.

The article describes the result as a pollution problem that can worsen depending on when and where burning happens. SATARK therefore focuses on prevention and timing. By identifying risky fields and conditions earlier, authorities may be able to help farmers avoid burning or intervene before smoke reaches surrounding communities.

SATARK uses several kinds of information to identify fields at risk. Satellite images show fields across an area, while crop information helps indicate what is growing there. NDVI measures how green the crops are, allowing the system to track their change from green to harvest-ready brown.

That change matters because farmers may soon need to clear leftover stalks after harvesting. SATARK’s “smart burning windows” model combines the satellite and crop information with weather conditions. It can identify fields nearing harvest and assess whether burning at a particular time might worsen nearby pollution.

Local IoT “sentry nodes” add readings from the ground. They collect wind direction, air pressure and moisture. The team uses these measurements to estimate whether smoke would disperse or drift toward homes and public spaces. Together, the tools help answer where crop waste may be burned and when someone should offer support.

Satellites do not observe every fire continuously. Some pass over an area only at fixed times, so a short-lived fire or a fire burning late at night can go unnoticed. Images may also lack enough detail to show exactly what is happening in a particular field. These gaps can make it difficult to identify the right location and response.

SATARK adds low-cost IoT devices called “sentry nodes.” They collect local information about wind direction, air pressure and moisture. This information does not replace satellite images. Instead, it adds a ground-level view of conditions around farming areas.

Using the readings, SATARK can estimate how smoke might move if a fire starts. It can assess whether smoke would disperse or drift toward homes and public spaces. This helps the initiative decide when authorities should step in and offer alternatives, rather than relying only on satellite detection after burning has already begun.

Farmers need alternatives that are affordable, available and fast enough for the next planting deadline. One option is access to machines that clear leftover stalks after harvesting. This could reduce the need for costly manual labour, especially because clearing one bigha by hand can cost around Rs 600.

Authorities could also help provide products that allow stalks to break down naturally. The article notes that these products may take time to arrive and work, so support would need to reach farmers early. SATARK aims to identify fields nearing harvest so help can be offered before a farmer reaches for a match.

The right response depends on local conditions and the farmer’s reasons for burning. SATARK collects information about who is burning, where and why. That could help authorities match farmers with practical alternatives, while its weather model can identify urgent situations when smoke would threaten nearby homes or public spaces.