The Auto ID center at the MIT or its related markets research papers drew attention to the Internet of Thing idea in 1999. Essentially, the Internets of the Thing (IoT) is an interconnection of numerous objects that communicate, perceive, or interacts with their internally or externally state via embedded technologies. The Internet of Things (IoT) has emerged as just a megatrend for next generations technology that has the ability to impact the whole business spectrum by allowing end device, system, and services to communicate more effectively. Smart health care, smarts cities, safety, retails, traffics congestion, industrial controls, and farming are just a lot of small fields where the Internets of Things might be beneficial. In order to create smart farming solutions, a considerable amounts of the works has been done using IoT technology in the agricultural sector. By analyzing various difficulties and difficulties in the farming’s, the Internets of Thing has created a significant transformations in the agricultural environment.
With the advancement of technology, agriculturalists or technologists are now expected to use IoT to find answers to problems that farmer face, including such water crisis, cost managements, even productivity issues. Cutting-edge IoT technology has recognized all of these issue or certain solution to the rise productivity although lowering expenses. Due to the effort being finished on the wireless sensor networks, people may acquire data from detecting devices or transfer it to the central server. Sensors data offers information on various environmental variables, allowing for proper monitoring of the entire systems. Monitoring ecological situations or crops output is not only factors that influences agricultural output; there are more, including field managements, soils as well as crops monitoring, unwanted item migrations, wild animal attacks, and thefts, to mention a few. Besides, IoT allow for well-ordered scheduling of the limited resource, ensuring that best used of IoT improves productivity. the agricultural trend that provide easy or costs effectives interactions through secure but instead unblemished connectivity across personal Greenhouse, Livestock’s, Farmers, or Fields monitoring Using wireless devices, Internet of Things agricultural network allow real-time crop and animal monitoring’s ^[1].
There are several application, protocols, or prototypes in agricultural sectors as whole. Effective use of technology, network design, application, security, or difficulties are all hot topics in IoT agricultural research. Furthermore, various IoT regulations and standards have been adopted in agriculture by several governments and organizations across the world. However, significants amounts of the works has been done in the IoT agricultural setting, and a comprehensive study of IoT in the agriculture is required to comprehend the present research state. The following Internet of Things agricultural methods have been included from the literature as a contribution to this research ^[2][3].

Major Internet of Thing based Smarts Agriculture Components there are four main component of the IoT based Smart farmings Physical structure, data collection, data process as well as data analytic are the four main components. To prevent any unfavorable outcomes, the physical structure is most essential element in precisions agriculture. The whole system is intended to control the sensors, actuators, and gadgets. Soil sensing, temperature Sensing, climate sensing, lights sensing, or moistures sensing are all functions that a sensor may accomplish. Devices, too, provide a variety of control tasks, such as nodes discovery, devices identification, or naming services, among others. Any other devices & sensor that is control by the microcontroller may perform all of these tasks. This controlling action may be carried out by the any remotes devices and computer linked to the Internet. Images or videos process, data loadings, management information systems, or data mining’s are all aspects of data processing. Any feature that may operate in parallel to offer additional services can be introduced based on the system needs. Monitoring and managing are the two primary aspects of data analytics. Field monitoring applications, on the other hand, are designed to report various field parameters such as soils richness, temperatures, pressure, humidity, gas, (air or water pressure), as well as crops disease monitoring^[4].

Because there are so many technologies utilized in IoT agricultural solutions that it's difficult to list them all, our talk focused on a few key technologies that have helped modernize IoT agricultural services.

One of most important aspect of the IoT in agriculture is the IoT agricultural networks, and IoT networks for the agriculture. It aids in monitoring of agricultural data as well as the transmission and receipt of such data. The framework includes Internet of Things farming networks architectures, IoT agricultural networks platform, or the IoT farming networks topologies as well as protocols ^[5][6].

The key element of IoT in agriculture is IoT agricultural networks. And IoT Agricultural Networks Architecture proposes a framework for describing the physical components of IoT agricultural networks, as well as the operating principles and methods. Because of ubiquity or interoperability of the IP, most IoT systems follows the four layer design (Networks Layer, Application Layers, Physical or Mac Layers, or Transports Layer), as proposed by Naik (Figure 1).
Following our examination of these four layers protocols, we looked at two additional approaches: IPv6 and 6LoWPAN. This is the highest degree of abstraction, allowing for the creation of numerous user application. At this layers, communications protocols are implemented to monitor various agricultural factor such as the meteorological data, soils moistures levels, irrigations monitoring, and so on.

Several researcher have worked on the IoT agriculture systems, developing or creating different IoT agricultural solutions to address a variety of technical and architectural challenges. Furthermore, there are many outstanding problems and difficulties that need to be addressed efficiently, according to the research’s points of view in the literatures. There are many difficulties associated with the implementation and use of IoT smart agricultural applications. This study uncovered a number of IoT agricultural problems and challenges, both known and undiscovered^[7][8].

A lot of challenges arise in an IoT agriculture setting. To start with, the apparatus at the perceptual layer is primarily exposed to extreme weather conditions such as rain, greater temperatures, extreme humidity, strong winds, and a range of other possible risks that might harm electronic circuits. In order to work continuously for a long period, consumer devices rely on the sufficient battery power supplies.

These difficulties occur not just at the hardware level, but also at the network layer. Wireless connectivity is critical for adoption of the IoT based agriculture due to the increasing price of wiring. Human existence, temperature, humidity, as well as several others barriers insides space at which a wireless devices and node wishes to speak show that accepted transmitters performance is blown out of proportion by the humans occurrence, temperature, humidity, or several others barriers insides the space where a wireless devices as well as nodes want to the communicates.
Agricultural Platforms in the Internets of Things (IoT) In comparison to other IoT end device, agriculture IoT architecture is more complex and necessitates a real-time monitoring program with much more rigorous criteria. A custom-made computing platforms with run time libraries is required for this. A services oriented architecture may also be used to create suitable platform; these services can be accessed via various APIs. Furthermore, suitable frameworks as well as libraries should be the created so that agricultural developers may makes effective utilization of existing documents, class, scripts, and others relevant information ^[9][10].