Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
In an uncontrolled environment, the effect of global warming pose challenges to successful plant cultivation. However, recent advancements have narrowed the gap between agricultural production and IoT technologies. It becomes crucial to exercise precise control over fertilizer quantities to moderate production expenses. The main goal of this project is to develop a wireless hydroponic system that can transmit node data from hydroponic site without Wi-Fi to another node with Wi-Fi coverage and push data to IoT cloud/middleware. This proposed system employs ESP32 devices, with one endpoint dedic
The Self-adaptive System (SAS) has the ability to react and adapt automatically according to the current contexts and situations. The design and analysis in software engineering play an important phase to build such systems. SAS needs Self-adaptive Process (SAP) to initiate the realization of the functions. Based on the previous studies by other researchers, common problems in SAS are their uncertainties in providing services. This study needs to analyze service uncertainties with Self-adaptive Model (SAM) in SAS. SAM which will be mapped with SAS are MAPE-K and ASTRO-CAPtEvo. This research ta
The coronavirus pandemic has changed the learning method around the world. Educational institutions including schools, universities and other learning institutions have had to quickly move to online learning platforms. Options for remote learning methods such as virtual classrooms, online lectures, and digital study materials were seek for online learning. It can occur synchronously or asynchronously and been used to replace traditional in-person instruction. This situation forces some equipment to require remote simulation control so that it is easier for the user to monitor the system activi
The Internet of Things (IoT) is an emerging technology developing recently. The technology of IoT allows users to communicate with controllers and sensors which is widely used in the agricultural sector such as farming and weather forecast. Recently, it has been identified that herbal traditional home gardens are difficult to monitor where herbal plants are sensitive and need a proper monitor. This research has developed an IoT smart gardening for herbal plant systems that helps to analyze four types of herbal plants which are Aloe Barbadensis miller, Salvia Rosmarimus, Clinacanthus nutans, an
In agricultural industry, autonomous robots have been adopted to reduce labor-intensive tasks. In a context of traditional chili fruit harvesting, the process often requires a significant workforce and can be improved especially for grading due to human eyes being prone to errors. In addition, the characteristics of chili fruits is significantly different with other typed of fruits due to its sizes, variations, texture and its localization from the plant. To address this, an investigation was conducted using the You Only Look Once (YOLO) object detection algorithm to localize and classify chil