马会论坛

 

Drone tech for farmers: One student鈥檚 journey in taking an idea from the lab to the marketplace

- May 26, 2021

With a shared vision to help farmers produce more food, more sustainably at lower cost, Sabiha Antora鈥檚 software aligns with the industry鈥檚 push toward automation. (Provided photos)
With a shared vision to help farmers produce more food, more sustainably at lower cost, Sabiha Antora鈥檚 software aligns with the industry鈥檚 push toward automation. (Provided photos)

Sabiha Antora started her master鈥檚 program with a big dream: to help the world produce more food. 聽

As the global population continues to rise, the amount of food we produce falls alarmingly short. It's estimated that by 2050, there will be nearly 10 billion people to feed. That means we have 29 more growing seasons to figure it out.鈥

While the scale of this challenge is epic, Sabiha and her pioneering team that includes Dr. Young Ki Chang and Ryan Cobb want to be part of the solution.

Helping farmers with a health check-up for crops聽


Growing up in the farming town of Teligati, Bangladesh, Sabiha saw first-hand how labour-intensive it was to manage crops.

鈥淢y grandfathers and uncles spent long days in the fields growing paddy and vegetables, like spinach, squash and bitter gourds,鈥 she says.
鈥淚 wanted to develop something to take some stress off the farmers.鈥

Rather than relying on manual labour to scout out areas in the field in need of fertilizer or pest control, Sabiha and her team felt that a drone could do the job faster and better. 聽

Using advancements in digital imaging and processing, Sabiha鈥檚 team proposed that a drone could be engineered to scan and process data in real-time. They wanted to develop a lighting-fast system that could analyse a field and prescribe steps for the farmer to take to maintain healthy crops. It would be like a health checkup for crops.聽聽

Applying to Dal Innovates鈥 Lab2Market


Working out of the robotics lab on 马会论坛's Agricultural Campus, Sabiha, Young and Ryan, applied to Dal Innovates鈥 Lab2Market program. 鈥淚 had no idea about commercialization,鈥 Sabiha says, 鈥渂ut I knew if we could help growers care for their crops quicker, we would be helping them to improve crop yields.鈥

A key part of the Lab2Market program is customer discovery. While Sabiha excelled at market research, her instructors saw that she was avoiding contacting future customers directly. 鈥淚 was afraid growers wouldn鈥檛 understand me because of my accent, and that I wouldn鈥檛 find the right words,鈥 she says.



To face her fears, Dal Innovates instructors Michael Carew and Permjot Valia suggested Sabiha start by contacting agriculture customers in Bangladesh. Of the Bangladeshi鈥痗ontacts, she says: 鈥淭hey gave me lots of ideas for how to relate to farmers in North America.鈥 聽

Sabiha may have even landed a new job after contacting the Bangladesh Agriculture Research Institute.

鈥淎 senior scientist was so impressed by my dedication to developing digital agricultural systems that he offered me a research assistantship after I finish my master鈥檚,鈥 she says.

Pivoting from farmers to service providers


With new found confidence, Sabiha contacted farmers, CEOs of companies, agronomists and analysts. She and her team assumed their idea of a crop assessment drone would be embraced by farmers. However, it wasn鈥檛 long before she felt the sting of rejection.

鈥淭he feedback I got from farmers was negative,鈥 she says. 鈥淭he farmers said things like 鈥楾hat鈥檚 too expensive, I don鈥檛 need that, and I won鈥檛 be able to run a drone.鈥欌澛 聽

Sabiha and her team had to shift their mindset. They had to redefine who would be interested in their technology. 鈥淚 moved on to contacting service providers,鈥 she says. 聽

Through this outreach she learned several companies were already processing images, but it was taking them a week to deliver an inspection report on field conditions. These companies were focused on automation. They wanted to have field analysis in real-time because certain crop diseases鈥痗an destroy a whole crop in a matter of days. 鈥淚 now understood their pain,鈥 she says.

How many acres of farmland can we analyse?


With a shared vision to help farmers produce more food, more sustainably at lower cost, Sabiha鈥檚 software aligns with the industry鈥檚 push toward automation. Equipment like self-driving tractors that work day and night is just the beginning. 聽

While Sabiha received a warmer reception from industry service providers, they weren鈥檛 really interested in their team鈥檚 drone hardware applications, like how the scanners worked. 鈥淭he CEOs and company founders wanted to know about our system鈥檚 field level capabilities, like how large of an area can our system scan,鈥 she explains.聽

鈥淟ab2Market allowed me to refocus my research,鈥 says Sabiha. 鈥淚鈥檓 now back in the lab and more motivated than ever because I can see what the market needs.鈥 聽

To stay a step ahead of the market, the research team is focused on designing software that pinpoints where a crop is under stress and delivers a prescriptive map in real-time. 鈥淗aving a prescription map frees up the grower鈥檚 time,鈥 she says. 聽

By caring for crops more quickly and precisely, she envisions farmers no longer needing to crop dust entire fields and instead, focusing on optimizing production.

Feeding the world starts with optimizing one field of potatoes


This summer, Sabiha and her team are planning to test their field assessment software. Commercial farmer Scott Newcombe is keen to get a crop checkup on his potato field. 鈥淲e鈥檙e hoping to scan his large field and compare the real-time processing of our data to our manual images,鈥 she says. 鈥淲e will also provide Scott with a prescription map and a productivity estimate of what his crops will yield.鈥 聽

Will this new field assessment software be integrated into tractors or drones? Sabiha鈥檚 not sure which is the better fit. That鈥檚 something for manufactures like John Deere or Kubota to decide. What she does know is that Lab2Market helped her understand the value of her crop assessment system and that she鈥檚 doing her part to help farmers get ready to feed the world.聽


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