For a variety of reasons, food safety or quality has been a significant worry and a heated subject all over the world in recent years, particularly in China. For example, the 2008 Sanlu melamine’s milk powders crisis shook the globes owing to its impact on the thousands of infants, with many of them dying as a consequence. Another event that shocked the Chinese community as well as the rest of the world occurred in 2011, when beef from Shuanghui Groups (China's biggest meat suppliers) was found to contains chemical (Clenbuterol hydrochlorides) which is banned in the China. Foods quality or safety are attracting the attention of the both governments agencies or customers owing to the significant loss of states income as well as the health hazards to consumers posed by non-compliance with food regulations. As a result, it is critical to create technology that can ensure food safety across the whole food supply chain (FSC), which includes manufacturing, processing, packaging, transportation, storing, distribution, including consumer sale.
Many studies have been carried out across the globe with the development of the technologies such as the internets of thing (IOT) to assist companies in resolving foods quality or safety problems. IoT is the visions of being able to connect to everything at any time and from any location, and it is anticipated to dramatically alter our lives in the next years. “Things with identities or virtual personalities functioning in the smarts environments utilizing intelligents boundaries to interact or communicates with in societal, ecological, including users context,” according to the European Commission. IoT technologies are seen to be capable of resolving problems of traceability, visibility, as well as controllability throughout the FSCs supply chain. For many years, IOT technologies have been used in the pharmaceutical sector to improve quality and keep medicines safe. In terms of managing factory staff members, food items, and giving valuable information to consumers, IOT will play part in addressing problems of food quality or safety, making it is simpler or more relaxed for the people to monitors or consumes foods with the confidences ^[1][2].
Foods packaging is critical in preserving the safety of food throughout the supply chains. Conventional packaging is the designed to protects foods from changes in environment such as the temperature, humidity, lights, gaseous emission, and microbials assaults. Active packaging systems, on the other hand, are those that feature direct interaction between the packed food and the packing environments to offer protections and prolong the food's shelf lifespan. Actives packaging preserves packed foods by the incorporating actives component that release and absorb chemicals into or out of the food to maintain control of the conditions. Intelligent packaging, on the other hand, does not include any active ingredients. It does, however, have sophisticated mechanisms that interacts with the supervisors and customer to gives information’s on the presents states of the meals. There are 2 kinds of smarts packaging device. The first are information carrier, such as barcode label as well as radio frequency identifications tags, as well as the second are package indicators, including time temperatures indicators and gases indicator, which are then used to monitors environmental changes. Fadables ink for the times, temperature regulation of the foods cleanness has been extensively utilized the printings of the freshness label on the foods containers^[3].
The idea is when the ink fades over time, it will indicate that the food is no longer fresh. Even as temperature fluctuates and the air reacts with both the label ink, the colour fades. The chemical makeup of the ink determines how quickly it changes color. The writing on the label has faded over times. Labels that indicate the presence of the a gas as just a result of a change inside the foodstuff condition within the package are known as gas indicator. The interaction of polyaniline films with ammonia released when seafood spoils was used as a sensing layers to check for food spoilage. As a result of fish degradation, ammonia created by bacterial development will react with PANI coatings. The reaction will cause the color of the film to shift. A new sticker sensors are based on the methyl’s red adsorbed on the bacteria’s celluloses membranes for broilers chickens freshness evaluation was described in as another smart packaging indication. To signify poultry spoiling, the color of the label changes from red to the yellow ^[4][5]. The pH level rises as the chicken spoils owing to an increase in spoilages volatiles amines, which fill headspace of foods packaging.

IoT technologies are made up of a variety of distributed energy resources that may be chosen based on the needs of various consumers and organizations across the world. The resources of IOT may be classified into three distinct levels, which are regarded to be the primary architectural layers of the IOT, when consider the verticals perspective of IOT technologies, which is focus on the actual implementation. The sensor layer, network layer, as well as application layer are the three layers, as shown in Figure 1.

Layer of sensing Based on the roles of the units, the sensing layer may be split into two levels. They are layers for data collection as well as collaboration. Phenomena from of physical worlds, such as temperatures, moisture, pressures, quantity, multimedia data, so on and so forth, are detected via devices such as sensors, or Ultra-wides Bands Near fields communications, WiFi, or camera in the data collection layer. The cooperation’s layer, on the other hand, focuses on technology used in shorts distance information transfer, contexts awareness, including large data analysis. Sensor networks ad hoe coordination’s treatments technology, or middleware technologies are all used in these applications. Layer of the network Backbones, mobiles communications, wireless lan (WLAN), satellites communications systems, Global positionings system (GPS), Bluetooth, and other network technologies have been utilized for many years. This network layer transmits the information collected by sensing layers to the applications layer^[7][8].

The applications layers is split into 2 parts. They are the supports sub layers or the service sub layers, respectively. The data is processed by the support sub-layer utilizing an intelligents processing units, or then sent to the user depending on the given request. Because of the enormous amount of the data involve the systems included high speed information processing cloud technology and peer to peer (P2P) middleware. The interface and platforms for specific public services are provided by the service sub layers. Security monitoring, disasters monitoring, vehicle schedule monitoring, or intelligents home appliance monitoring are examples of typical uses for this sub-layer^[9].

The Internets of Things (IoT) in the foods supply chains consists of a diverse set of the devices connected by a network of data exchange, tracking, or location systems. Foods producers, transportation companies, or foods consumer all have well defined connections across the supply chain. When the temperature inside the foods truck exceeds the required value, the system will sound an alert or send signals to refrigeration control to boost ventilations in order to the re adjust the temperature or keeps it in check. The same procedure is used to calculate additional characteristics such as humidity, gas concentrations, or ambient pressure, among others.

As previously said, this layer is the initial layer that collects the data necessary for the Internet of things technology to operate. The follow-on are two example of the apps for detecting food freshness or determining foods authenticity. Development of a mobiles cameras app for the detecting foods freshness. The camera is the device that is used to collect data. A smartphone app has been created as parts of Internet of Thing technology employed in foods supply chains to take use of the mobiles camera of food customers for this purpose. This app checks the prawn's freshness as well as shows the findings on the consumer's smartphone screen. More information’s regarding the mobile app may be found in a previous article we wrote. In conclusion, the developed smartphones app employs chromatic characteristics to quickly displays the cleanness levels of the items by the readings RGB colors from the colour changings label or comparing it to the colors of the pH sheets. After that, app will displays the cleanness of foods by the indicating whether this is fresh, excellent, or ruined. And Figure 5 depicts the app's findings as shown on the phone's screen.

Another examples of creating sensor for IoT sensor surface is the use of Spectroscopy spectroscopy to the distinguish not halal meats from the halal meats, which is required for the Muslims to consume. The information gathered by the FTIRs sensors may be the sent straight from communications layer to application layer, allowing customers or supervisor to see what kind of meat was used. In a wide variety of mid infrared spectroscopic range from the 400 to 4000 cm-1, FTIR was utilized to distinguish pig fat from cow, chicken, or lamb fats. The findings of the study are described in detail earlier in. At wave number 2361.05 cm-1, the results were obtained.