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SINGAPORE - VIDEOS: How IoT And Machine Learning Are Automating Agriculture
A new generation of farmers is tapping the internet of things and machine learning to operate self-sustaining urban farms with minimal supervision
A New Generation of Farmers Is Tapping The internet of Things And Machine Learning To Operate Self-Sustaining Urban Farms With Minimal Supervision
By Aaron Tan, TechTarget
21 Jul 2021
A new generation of farmers is turning to technologies such as the internet of things (IoT) and machine learning to automate agricultural production, alleviating the need to toil on the land while keeping a watchful eye on their crops.
Joining their ranks is Phoebe Xie, director, and co-founder of Singapore-based agrotechnology startup AbyFarm. Teaming up with technology service provider SPTel, Xie is building a smart hydroponics farm in a greenhouse that uses a plethora of IoT sensors, including video cameras, to keep the farm humming around the clock.
“To run a self-regulating farm at the optimal temperature with optimal water and nutrient supply, and to control the quality and taste of vegetables and fruits, we need IoT sensors,” she said, adding that the farm and its sensors collect and monitor thousands of data points, including humidity and temperature.
With the data and in certain environmental conditions, processes and actions are automatically triggered to protect crops from the elements. For instance, if the temperature or humidity gets too high, fans, water curtains, and roof shades are activated in the greenhouse.
Xie said the smart farm, located at a rooftop carpark in Singapore, is also equipped with sensors that monitor the pH and electrical conductivity levels of water. Among the sensors, which are connected to a Lora low-power wide area network, is a dozer that automatically releases acidic or alkaline nutrients to maintain optimal pH levels.
Whereas the farmers of old had to physically inspect their crops, AbyFarm’s agronomists and farmers can do so remotely using video cameras and image recognition technology to identify crops that might be succumbing to disease.
“If the image recognition finds that a plant is likely to be sick, the farmer will be alerted to go onsite to check how the plant is right now,” said Xie, adding that agronomists will also advise farmers on taking corrective actions to prevent disease or restore the health of their crops.
Like any machine learning system, AbyFarm’s algorithms get smarter over time. Each time a crop is affected by disease, data about the occurrence and corrective action is fed into the system, enabling its algorithms to formulate solutions for other farmers with similar crop issues – without consulting an agronomist.
With that, said Xie, even those who are new to the field can use the system to guide them on treating diseased crops, which can be isolated from other crops to prevent cross-infections.
AbyFarm’s automated farming system, which is hosted on SPTel’s private cloud, can also advise farmers on the best time to transplant their crops after germination and harvest them later for sale, said Xie.
Heng Kwee Tong, vice-president for engineering and customer solutions at SPTel, said the company has built up a software-defined platform to help companies like AbyFarm overcome the challenges of deploying applications such as IoT.
“The common struggle that companies like AbyFarm face with building an IoT solution is that it is quite intensive in terms of ICT infrastructure,” said Heng. “You’ve got to find the radio connectivity like Lora, subscribe to a service provider, and connect your sensors to a sensor collector.
“We make it easy by investing in a platform and because we are a service provider with edge hub assets for deploying radio connectivity, all AbyFarm needs to do is to bring their sensors onboard.”
Going forward, Heng said SPTel is looking to support next-generation video analytics capabilities through edge cloud services that can be used to crunch workloads closer to where they reside, reducing latency.
AbyFarm was one of six companies to win contracts from the Singapore Food Agency last year to build urban farms at nine rooftop carparks in public housing estates across Singapore.
The goal is to collectively produce about 1,600 tonnes of vegetables a year in a bid by the city-state – where less than 1% of the land is used for agriculture – to become more self-sufficient in meeting the nutritional needs of its people.
That could well be achievable with technology that makes farming more efficient, scalable, and less labor-intensive than before. “We are willing to train and educate the next generation in agrotechnology because now you don’t need 10 farmers to take care of one farm,” said Xie. “It’s just looking at the dashboard and, with the alerts, doing what is required.”
FarmERP Gears Up For The Future As Top Executives From Cognizant And SAP Join Them
FarmERP’s main focus lies in rigorous technology-intensive transformation of agriculture and agribusinesses, through the latest advancements including the Internet of Agricultural Things, AI, Blockchain and Machine Learning
FarmERP’s main focus lies in rigorous technology-intensive transformation of agriculture and agribusinesses, through the latest advancements including the Internet of Agricultural Things, AI, Blockchain, and Machine Learning. To enable revolutionary ease within the management system, FarmERP welcomed Mr. Abhijeet Dange and Mr. Vikram Metkari on board.
The team at FarmERP recently announced the appointment of Mr. Abhijeet Dange as the Associate Vice President for Delivery at the organization. With vast experience in banking and financial services, learning, and talent development for over 22 years while working for organizations like Cognizant and Silverline, he has immense knowledge about handling large offshore customer engagements.
On his appointment, Mr. Dange quoted, “With the knowledge I possess, I aim to help in maintaining FarmERP’s competitive advantage by effectively aiding the growth of agribusinesses through cutting edge technology platforms.”
Mr. Sanjay Borkar, the CEO of the Indian-grown 2001 brand believes that, apart from being a strong leader with excellent people management skills, with his expertise in streamlining digital IT transformations, Mr. Abhijeet will play a crucial role in uncomplicating complex product management for FarmERP.
The team also welcomed on board Mr. Vikram Metkari as the Head of Sales and Marketing, who shares the same passion that the co-founders of the organization do, for transforming the inner workings of agriculture through the use of tech platforms. Mr. Metkari, an MBA and BE professional with rich work experience in marketing, sales, and business strategy, is a self-motivated and confident leader. He is not only a keen planner and strategist, but also an articulate communicator offering high- caliber presentations, negotiations, and analytical skills.
Mr. Santosh Shinde, the COO of FarmERP believes that Mr. Metkari’s extensive experience of working for various companies- both smaller organizations and world leaders like SAP and Vodafone in the IT & Telecom domain will enable him to guide, innovate, build, and provide value to agribusiness' customers by strengthening FarmERP's existing leadership in the domain.
With the valuable addition of both these members to the team at FarmERP, striving to make a difference and create an impact in these testing times, and the immense experience and culmination of expertise that they bring to the table, the management is now stronger than ever.
FarmERP is a leading smart agriculture management ERP technology platform. It was incepted as a part of Shivrai Technologies more than a decade ago and is currently deployed in 25 countries, assisting a variety of agribusinesses.
FarmERP is a pioneered effort by engineers, classmates, and now partners, Mr. Sanjay Borkar and Mr. Santosh Shinde. Both coming from an agricultural background, they were and are well aware of the toils and troubles that the agricultural sector faces on a daily basis. They turned to technology as a helping hand and as a partner.
Due to the connection, both personal and professional that they have towards the agricultural sector, it makes each individual work that much harder towards achieving the long-term goals they stand for. Aiming at the revolutionizing of the practices the agriculture sector follows as of date, FarmERP strives to make considerable progress in the agri-sectors they work with, while actively trying to incorporate their offerings with additional sectors as well since they are a platform which can accommodate the personality of numerous agribusinesses.
Motorleaf Uses AI to Predict Crop Yields for Indoor Farmers & Greenhouse Growers
Between unpredictable weather, pests, and degrading soil quality, farming is an extremely difficult way to make a living. Indoor farming, though less weather-dependent, carries its own set of burdens.
Motorleaf Uses AI to Predict Crop Yields for Indoor Farmers & Greenhouse Growers
April 16, 2018
"Republished with permission of The Spoon", Read the original article at The Spoon
Photo: Motorleaf
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Between unpredictable weather, pests, and degrading soil quality, farming is an extremely difficult way to make a living. Indoor farming, though less weather-dependent, carries its own set of burdens.
Montreal-based startup Motorleaf wants to lighten the lift for indoor farmers by improving crop yield predictions and optimizing growing conditions. The company hopes that their software, which CEO and co-founder Ally Monk likens to a “virtual agronomist,” will take the uncertainty out of farming.
To do this, Motorleaf first gathers data on the grow environment through machine vision, agricultural sensors, and historical information. It then applies algorithms and AI to help farmers determine the adjustments they need to make to the indoor grow environment to optimize their crop. Which means farmers can monitor CO2 levels, light spectrum, and other atmospheric conditions remotely through wireless devices or laptops.
Customers can opt to install Motorleaf’s own hardware (a suite of IoT-enabled sensors), though they can also just connect the Motorleaf’s software to the farm’s existing pre-installed hardware to measure and remotely adjust environmental inputs. Its interoperability makes Motorleaf an easy tool for larger greenhouse operations, ones who already have their own monitoring hardware in place, to install. “At the end of the day, we are a software company,” said Monk.
Motorleaf isn’t the only company helping indoor farmers help manage the lifecycle of their crop. In fact, it’s not even the only company which sees itself as a “virtual agronomist.” What sets it apart, however, is its ability to predict crop yield. Monk claims that Motorleaf is the first company to use AI and machine learning to increase the accuracy of yield estimations.
This is a lot more important than an average person (read: the author) might think. Commercial greenhouses pre-sell produce before their harvest based on estimations given by agronomists — though they’re not always accurate. It’s extremely difficult to guarantee the quantity or quality of their crop before it’s harvested, and miscalculations can lead to loss of profits for both the buyer and producer and also generate huge amounts of food waste.
Motorleaf claims that their software can cut yield prediction error by more than half — at least for some crops. Monk explained that each plant needs its own specialized software for yield prediction, likening farming to a recipe. “Maybe they think there’s a right recipe to growing kale; they need this many nutrients, this much light,” he explained. “We very strongly disagree with that. We think that any farming protocol needs to be dynamic, because if something happens in a greenhouse — which happens all the time — why would you stay rigid? You have to adapt.”
So far, their AI has only been proven to work for estimating tomato yield. However, they’re also deploying algorithms for peppers and silently developing technology for five other crops.
Photo: Motorleaf.
I was surprised to learn that indoor farming environments could be so volatile. After all, that’s the whole point of bringing them indoors, right? Apparently, not so. Monk explained that variable factors like sunlight, outside air temperatures, and human error can all affect greenhouse conditions. Even the plants themselves can do unexpected things that can affect their climate change.
Motorleaf got $100,000 Canadian dollars from the FounderFuel accelerator in the summer of 2016, and later that month Motorleaf raised $850,000 (US) for their seed round of funding. The startup is currently working with clients in Canada, USA, South Africa, South America, Mexico, Holland, Poland, New Zealand and the UK, and aims to be in Spain, France and Germany by early 2019.
Monk concluded our call with what he called “a crazy thought,” one he had when he saw celebrity-branded color palettes. “Why can’t I have a Jamie Oliver taste palette? Why can’t I buy a radish that’s the exact kind he likes to cook with?“ he asked. Farmers could use Motorleaf’s software to manipulate crops into having a certain taste and look, one that would be specific to, and branded by, celebrity chefs. Consumers could purchase produce that had the same taste profile as those preferred by their favorite chefs, and even integrate them into those chef’s recipes.
In the age of celebrity-branded meal kits and baking mixes, this idea isn’t too far-fetched. We’ve even seen companies like Bowery use AI to tweak the flavor, taste, and color of fruits and vegetables.
Motorleaf hasn’t started developing any of this technology yet, but Monk used it chiefly as an example to show how AI can open up “a whole slew of possibilities” for farming. He hopes that one of its applications will be to take the unpredictability out of farming, and put the power back in the hands of the growers.