IoT India - India’s first agri-tech robot to battle farm labour shortage

By: Sanjeev Malhotra

Story Highlights

Manohar Sambandam, a tech entrepreneur-turned farmer, makes a robotic platform to harvest cotton. The trigger was rice and cotton harvests he lost due to lack of farm labour.
The cotton picking robot has a tentative market price of Rs 4-5 lakh. The idea is to extend its use to pick strawberries and grapes, as also to weeding.
While agri-tech robots are a hot area for investment in the west, they haven’t attracted much backing or been in deals in India.

Manohar Sambandam designed and programmed chips for 25 years at companies such as Texas Instruments and Broadcom. He did well for himself — earning a tidy pile from the sale of Athena Semiconductors, a WiFi startup he was part of, to Broadcom. It gave him the money and confidence to turn to farming in Thiruvarur, a temple town in Tamil Nadu less than 30 km inland from Nagapattinam on India’s eastern coast.

Hailing from a farming family, Sambandam was curious to see if it could become an economically viable profession. His plans seemed sound at first. “I had all of this figured out in a spreadsheet,” he says, laughing.

Sambandam experimented with growing rice at first and was able to grow a good crop on his 12.5-acre farm land. But he couldn’t harvest it due to lack of access to labour. His crop was ready for harvest 15 days before everyone else’s in the surrounding area. His farm didn’t have access for a paddy harvester to come in. “The machines will only come if there are enough people who are going to use it. So I actually lost the crop the first season,” he says.

He next tried to grow a special breed of extra-fine cotton, which fetches a much higher price than rice, again met with the same fate.”I wasn’t able to get people to pick, as this particular breed of cotton does not burst very well. When you pick, you have to use your hand — and the shells create a sharp edge, and you can hurt your hand. People were not willing to pick it,” he says.

That’s the backstory to Sambandam’s cotton-picking robot that seems to be India’s first of its kind agri-tech robot. In later iterations, it could be used to harvest other produce such as strawberries or grapes or even weeding. The robot, at the prototype stage, could well be the first of its kind in India.

And, by the looks of it, he may be on to something. His three-year-old startup, Green Robot Machinery was a winner at the recent Elevate 100 program, held last week, run by the Karnataka government to support entrepreneurship. In 2016, the startup, which Sambandam had put Rs 50 lakh of his personal money into, also received incubation and funding from Villgro, a social enterprise incubator.

At present, a core team of four people works at the startup, with consulting teams based out of Chennai and Noida providing help with the mechanical and vision challenges of creating a farming robot.

Besides the risk of hurting your hand, there were other reasons a specialised robot for harvesting Indian cotton made sense. The US and Europe use cotton varieties that bloom synchronously, all at the same time, to enable mechanical harvesters to reap the crop in one go. But these varieties don’t suit Indian conditions as the local cotton breed that blooms at separate time intervals.

A look at the MVP
When I visit the Green Robot lab in Brookfield, a suburb in east Bengaluru, the latest prototype of Sambandam’s robot has a glitch and is not working. But the team shows me videos of the robot in action, on the field and in lab conditions. Its ability to use machine vision to detect and pluck cotton bolls individually is evident.

The robot is calibrated to suit the contours of an ideal Indian cotton plant, which has 20-21 branches in a staircase position and is about three feet in diameter. In the latest prototype, the robot uses a six degrees of freedom arm, so that it can approach the cotton boll from the side. It uses path planning algorithms and inverse kinematics to guide the arm, and avoid the branches.

The robot is able to detect cotton through image processing, without the need for deep learning algorithms, Sambandam says. “One of the issues with deep learning is that it is very compute intensive — not for matching, but learning and matching. Training is very compute intensive,” he says.

The vision technology that guides the arms is fascinating from a technology standpoint. The robot creates a 3D profile of the plant, so that it can be programmed to avoid its arm running into the plant’s branches. For depth sensing, it uses the structured lighting feature of Intel’s RealSense stereo camera. “It’s a new technology where you don’t need to know what is the object, but you actually flash something in an IR spectrum, and you can detect the depth faster,” he says.

The arm is fitted with a tube that has vacuum maintained in it that sucks out the cotton boll and collects it in one go. There are a couple of advantages to using a vacuum tube — there’s more leeway in terms of the direction of approach of the robotic arm, and it’s a more time efficient way of depositing it. Green Robot is targeting an average speed of two seconds per cotton boll. “Our idea is to have at least four arms so that we can target 90 degrees with one arm, and this machine moves over the row of plants and picks from the side,” Sambandam says. The lab prototype that was shown to me had one arm.

These arms are mounted in a machine which is supposed to move over a row of plants. The robot is semi-autonomous, or human operated, as moving it through rows of cotton has to be done manually. The team is aiming for an efficiency of between 250 kg and 500 kg per day — about 5 to 10x efficiency compared to manual labour.

“If we perfect the arm, then everything else is scaling. With more arms, you can pick more. If I can do multiple rows, I can pick, at an even faster rate. There are still some challenges in multi-row picking, but the vision and the arms are the fundamental thing,” says Sambandam. While the robot is electromechanical, it is ideally powered by an internal combustion engine, he says.

It will take two to three more crop cycles before the robot is ready for production, Sambandam says, but an MVP, short for a minimum viable product, should be in the hands of customers for testing by the year-end.

Green Robot is looking to sell these robots to FaaS (farming as a service) companies, and large farmers, at a tentative price of Rs 4 lakh to 5 lakh. The team is also keen on repurposing this robot for other agricultural use cases — such as sorting produce by quality, and de-weeding.

“There are strawberry picking machines, very specific machines for the agricultural domain. There’s a pruning machine in the vineyard. This is the state of the art, happening in the rest of the world,” Sambandam says. “What we’re building is kind of a platform, which is useful for other crops, because it will be customised in the software.”

Will it find takers?
Indian agritech startups have raised over $124 million since 2013, excluding debt, grant and post IPO funding rounds, according to startup analytics firm Tracxn. Almost 50% of that investment happened in 2016. But, farm automation hardly seems to be on the radar. A majority of the investment dollars has gone to biotech firms (43%) and companies providing market linkages (49%).

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Mr Sanjeev Malhotra CEO of CoE-IoT comes with broad industry experience having worked in different domains of hardware and software. He has set up and led many MNC development centers and operations in India as well as US. He has worked in Intel, Qualcomm and few other small size companies in Communications and Web technologies and last few years in IOT. He holds MBA from Duke University and an M.S and B.Tech.

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