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The global livestock industry has long had difficulty managing the remaining quantity and quality of feed. If the feed is not properly managed, it becomes humid and rot or becomes a nest of insects. If the remaining amount of feed is not properly adjusted and too much remains, it has to be discarded. On the contrary, if the feed is insufficient, livestock starve and cannot grow well.

The problem is that the size of the feed bin, a feed storage, is too large to examine the remaining quantity and quality of feed in detail. If you don't handle feed well, you can't raise livestock well. The proportion of feed costs among livestock production costs reaches 40% to 70%. In addition, the difficulty of raising livestock and the success or failure of breeding vary depending on the quality of feed.

Is there a system that manages the remaining amount and quality of feed and delivers the right amount at the right time? Livestock production costs can be reduced and income can be increased. The anxiety of the livestock industry will also be further reduced. This is what Ko Byung-soo, CEO of AMB Lab, paid attention to.

Born in a farmhouse, CEO Ko Byung-soo has seen and felt the livestock industry agonizing over feed management since childhood. In an era where technology changes everything, the livestock industry is no exception. He devised 'MyFeed', a livestock feed management solution using the Internet of Things (IoT) and artificial intelligence (AI). It is a structure that accurately measures the remaining amount and quality of feed by attaching a small IoT device to a feed bin, analyzes it with AI, predicts demand, and automates delivery.

Until now, when looking at the remaining quantity and quality of feed, people climbed up to the feed bin and guessed it with their eyes or with the sound of tapping the feed bin with a hammer. This method has many errors. The feed is usually solid, but the particle size varies depending on how or how much it accumulates.

It is also difficult to know whether the feed in the feed bin stacked several meters high has rotted or which part of the feed has rotted. Visual observation itself is dangerous. Overseas, more than 30 people unfortunately die annually in accidents such as falls or burial while managing feed beans, according to a survey. There is also a technology to measure the remaining amount of feed with a laser, but it is difficult and expensive to handle because a skilled worker had to install a large device. It can only be installed in limited feed bins and is difficult to maintain and repair.

MyFeed, a livestock feed management solution of AMB Lab, operates just by installing an "IoT device" smaller than the palm of the hand on the feed bin and installing a dedicated app on a smartphone. IoT devices determine and inform the amount of feed in the feed bin as well as whether some of the feed is rotten or insects have occurred. The secret is various sensors including LIDAR.

It's a lidar that detects physical properties with a laser. If you use a sensor, you can accurately measure the remaining amount of feed inside the feed bin. An ammonia detection sensor is added to this. It is a sensor that detects ammonia that comes out when the feed decays. The remaining amount of feed and corruption measurement results are transmitted to the server, analyzed with AI, and errors are corrected. Based on this, the most appropriate feed replenishment time is calculated.

If it is a livestock feed management solution made of devices and apps equipped with IoT and AI sensors, it is easy to think that the price will be expensive. Amy Lab MyFeed is a contract subscription model that can be used at a price of less than 10,000 won per month (at the time of a two-year contract) per feed bin. For livestock farmers who want to use it without an agreement, Amb Lab also applied for a project to support subsidies for agricultural machinery (scheduled to announce the results in 2021).

The Amy Lab Myfeed is easy to handle enough for anyone to install in three minutes. All you have to do is open the lid of the feed bin and stick it on. Therefore, it rarely costs installation labor and management costs. If the battery is charged every year, it operates well without any maintenance. Due to its small body volume, it is easily installed and used in almost all feed bins regardless of size or type.

Another advantage of Amy Lab Myfeed is its "automatic customized feed order" optimized for timing and number of livestock breeding. Until now, livestock prices have not accurately estimated when to replenish feed. Therefore, unnecessary management costs were spent, such as paying more money to get the feed faster than expected, or paying for the remaining feed due to contamination.

By accurately grasping the remaining amount of feed, you can guess when and how much feed to buy. Ordering is also easy with the app. It also supports information and price comparison by manufacturer's feed, as well as making statistics on the trend of livestock consuming feed. It helps livestock farmers significantly reduce unnecessary management expenditures.

Amy Lab Myfeed also helps feed manufacturers a lot. If you know the remaining amount of feed accurately with IoT technology, you will be able to gauge the most appropriate timing and quantity of feed delivery by region or period. This leads to reduction in feed production and transportation costs. Target and customized operations are also possible based on changes in feed orders from livestock owners. As it is linked to ERP, it also obtains valuable operating assets such as feed consumption cycles and order data by region, period, and livestock of livestock farms.

According to Amy Lab's own survey, livestock prices that have introduced Myfeed save as much as 21 days a year. This is due to increased feed management, ordering, and delivery efficiency. The installation and maintenance cost of Amy Lab Myfeed is only 1% of the existing facilities.

Feed manufacturers with Myfeed have the effect of reducing transportation costs by 70%. The amount of feed consumption by region, period, and livestock needs to be identified, and based on this, only the necessary amount needs to be delivered when necessary. It is also expected to develop into a data-based feed subscription model. Using the MyFeed app also reduces sales and marketing costs.

The overseas livestock industry is also knocking on the door of Amy Lab one after another. It plans to sign an MOU with GLW Feeds, the largest feed maker in the UK, and operate a test farm. Based on this, it aims to enter Europe and North America. Myfeed's IoT device is small in volume, so it can be applied to silos such as flour and rice (large containers that store feed or grain) in addition to livestock feed. Although there are feed management technologies in Spain and other foreign countries, CEO Ko Byung-soo emphasizes that Myfeed is far ahead in terms of performance, technology level, and maintenance cost.

AmbiRam Myfeed is attracting attention as a technology that will lead the digital transformation of the livestock industry and further help ESG management. Various technologies, including smart agriculture, are gradually being transplanted into the Korean agricultural industry. On the other hand, the livestock and fisheries industries have not yet benefited from digital technology. Considering that the size of the Korean livestock industry has grown by an average of 12.2% annually over the past 50 years, it is unfortunate and surprising. Adding digital transformation to this, the livestock industry is expected to grow rapidly, catching both size and quantity.

CEO Ko Byung-soo's goal is to improve the underdeveloped online environment of the Korean livestock industry. First, it increases efficiency by introducing AI data analysis when managing feed. Beyond the inefficient structure of ordering feed over the phone, it will also establish an online distribution network that automatically receives feed at the right time. This will save livestock farms a number of costs. Since it is an online technology, it is an integrated management of large-scale farms and livestock farms in different regions. Making feed consumption into data helps increase the overall efficiency of the livestock industry.

Amy Lab MyFeed also helps E (environment) in ESG management. When livestock prices manage the remaining amount and quality of feed to optimize consumption, they reduce the carbon dioxide, feed imports, or manufacturing costs made by livestock and corresponding carbon dioxide, respectively. Feed manufacturers also reduce carbon dioxide emitted by vehicles when transporting them when analyzing the volume of goods and increasing delivery efficiency.


The blueprint drawn by CEO Ko Byung-soo is clear. It is to lead the digital transformation of Korea, and even the global livestock industry. The basic is feed management. Based on this, his goal is to solve problems in the livestock industry and break down digital barriers by extracting and processing data. Next, we dream of developing into a digital technology partner that will solve various variables that plague the livestock industry, such as temperature and weather.

CEO Ko Byung-soo said, "All members of AMB Lab have experience in the livestock industry. Some members heard the problems of the livestock industry from their parents and joined to solve them. It is a company that tries to solve the problems of the livestock industry for generations. We will definitely establish innovative solutions for the livestock industry and achieve digital transformation of the livestock industry in the future, he said.

Cha Joo-kyung, an IT reporter at Dong-A dot-com,

[Source] [Agriculture is IT] Ko Byung-soo's AMB Lab "Digital transformation of livestock industry to IoT and AI feed management "My Feed" | Author My Feed


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