Smart Agriculture

GIGABYTE has taken the first step to develop a smart IOT Gateway Eco Box for agriculture, to help farmers reduce workload and improve manpower shortages, using the front-end environmental sensors, photo-monitoring systems, and equipment controllers.
In order to develop agricultural technology applications, GIGABYTE has taken the first step to develop a smart IoT Gateway System for agriculture, to help farmers reduce workload and improve manpower shortages, using the front-end environmental sensors, photo-monitoring systems, and equipment controllers. The IoT Gateway System developed by GIGABYTE uses wireless communication transmission technologies such as WIFI, ZigBee, and LoRA. After collecting data and image data at the front end, users can access the crop growth environment in each batch. Information, and compare growth results, to give an environmental setting that is more conducive to the crop growth environment. This management system can also be extended to greenhouses and farms. 
Advantages of IoT Gateway ECO Box
suitable to Flexibility, Scalability, production capacity
Increase production capacity
Instantly control the IoT ECO Box environmental factors to achieve the optimal growth environment of the plants.
suitable to User Friendly, Ease of Use& Lower maintenance requirement
Reduce the manpower burden
Remote monitoring via mobile APP, if the situation can notify the relevant personnel in time, or use the remote control for manual processing.
suitable to Performance, Efficiency
Collecting and analyzing data
Through the cloud database server, it can collect environmental data and perform big data analysis to provide improved crop growth conditions.
Features of the IOT Gateway
・Gigabyte IOT Gateway agricultural system, ZigBee wireless technology, MCU Boards and SENSORS which can control the environment, in order to achieve optimal growth environment of the plant.
・Greenhouse environmental data collection and storing and analysis can improve the plant growth environment by using front-end sensors and specific equipment to improve the environment. IOT GATEWAY uses EDGE Computing and built-in ZigBee to collect data and transmit control signals to the front-end equipment. After (fan, water, light, shade cloth control), the data collected to a back-end database to transfer to big data analysis.
・In order to reduce labor costs, increase work efficiency. In the past, the farmer had to stay at the side of the crop at any time, patrol the water , fertilize, and watch the day. Now farmers can use technology through the Internet of Things IOT Gateway eco-box,reducing agricultural losses. Increase production.
Smart Agriculture IoT Structure
Smart Agriculture IoT System
GIGABYTE Smart Agriculture System - The IoT Gateway System's IoT ECO Box provides an agricultural technology application solution that enables farmers to increase the yield and quality of their crops while maximizing people's healthy lives!
IoT Gateway System
EL-30 (rev. 1.0)
Cloud Storage Device
H261-H61 (rev. 100)
Related Technologies
The Internet of Things (IoT) refers to a network of devices connected to the internet that can record or receive data without requiring any human to machine interaction. These devices can be any kind of physical object in daily life, business or industry – for example, the thermostat in your home, a trash can on the roadside, or a piece of equipment on a factory production line.
Artificial Intelligence
Artificial Intelligence (AI) is a broad branch of computer science. The goal of AI is to create machines that can function intelligently and independently, and that can work and react the same way as humans. To build these abilities, machines and the software & applications that enable them need to derive their intelligence in the same way that humans do – by retaining information and becoming smarter over time. AI is not a new concept – the idea has been in discussion since the 1950s – but it has only become technically feasible to develop and deploy into the real world relatively recently due to advances in technology – such as our ability to now collect and store huge amounts of data that are required for machine learning, and also the rapid increases in processing speeds and computing capabilities which make it possible to process the data collected to train a machine / application and make it "smarter".
Mobile Edge Computing
Mobile Edge Computing (MEC), or Multi-access Edge Computing, is a network architecture that enables cloud computing capabilities and an IT service environment at the edge of a cellular network. MEC technology is designed to be implemented at cellular base stations or other edge nodes, and enables flexible and rapid deployment of new applications and services for customers. MEC is ideal to be used for the next generation of 5G cellular networks.