Dr Sri Wahjuni Explains the Benefits of High Performance Computing in Agriculture
Advances in information technology bring improvements in all aspects of life, including the agricultural sector. IPB University itself built the concept of agro-maritime development 4.0 which views land, sea, and air as a single unit involving complex social, economic, and ecological systems that require a transdisciplinary, integrated, and participatory approach.
Dr Sri Wahjuni said that a branch of the agromaritime development concept is the concept of smart farming. She said that the core of the smart farming concept is to utilize the development of information technology in the agricultural process so that plant growth and health can be monitored, fertilizer needs are measured, harvest time is right, and work is efficient. In addition, the use of information technology is also aimed at increasing productivity and reducing the amount of waste.
“In smart farming, of course there is the involvement of artificial intelligence and big data in the process. For example, in an intelligent irrigation system that uses information from satellites in the form of weather and humidity information," said Dr Sri Wahjuni, IPB University lecturer from the Department of Computer Science.
This member of the research group in the computing section of Net-Centri IPB University gave another example in the form of a plant pest detection and monitoring tool. The process of making this tool begins with the use of data sets regarding various types of plant diseases. Furthermore, an object detection and classification model is built so that the tool will be able to capture the characteristics of the disease as input which will later be matched with the available data set.
"Other examples of the application of computers in agriculture include bioinformatics for the selection of superior seeds, intelligent weather prediction systems, to the marketing process of agricultural products," Dr Sri Wahjuni.
On the other hand, with the increasingly massive use of information technology in various aspects of life, this situation certainly presents new challenges. The increasingly widespread use makes data traffic on the internet network more crowded and congested, so it is necessary to find a solution to reduce it.
"By reducing data traffic to the cloud, it will reduce network and internet latency so that it can increase system response times in remote mission-critical applications," he added.
Dr Sri continued, to achieve system response speed, one of which can be done is by implementing edge-based internet of things (IoT). The point is to carry out the computational process as close as possible to the data source. However, edge-based computing processes have lower power than server-based processes. Therefore, experts are starting to think about ways to combine edge-based IoT with artificial intelligence which will later be named Edge Intelligence. (SWP) (IAAS/RDL)
Published Date : 24-Dec-2021
Resource Person : Dr Sri Wahjuni
Keyword : Smart Farming, IoT, Artificial intelligence, smart data, IPB lecturer, Department of Computer Science IPB
SDG : SDG 4 - QUALITY EDUCATION, SDG 9 - INDUSTRY, INNOVATION AND INFRASTRUCTURE