Claims:1. Data from a plurality of sensor devices located on one or more farms, as well as from one or more devices located external to the one or more farms, is received by a processor of a device, and the processor uses the data to create a model; sensor data is received by the processor and is related to a particular farm, as well as from a processor of the device; and the processor uses the data to create a model.
2. Using sensor data and the model to identify an alarm specific to a farm, determine a suggested course of action to resolve the alert, and provide the recommended course of action to a user device connected with the farm through the processor and the model.
3. Method of claim 1, wherein determining the recommended course of action includes determining the recommended course of action, determining the impact of performing or not performing the recommended course of action, and ranking the recommended course of action, based on the impact of determining the recommended course of action.
4. The method of claim 1 or 2, wherein the method comprises the steps of creating a plurality of models for a farm of the one or more farms, the plurality of models comprising a first model associated with a first portion of the farm and a second model associated with a second portion of the farm, the first and second portions corresponding to different plots of the farm or different crops.
, Description:The present invention is related to the Future precision Agriculture monitoring method with the Internet of Things.
BACKGROUND OF THE INVENTION:
In human history, significant advances have been achieved in the production of crops with minimal capital and labour input. Despite this, the high population rate ensures that demand and supply never reach a state of equilibrium during any of these times. According to current projections, the global population will reach 9.8 billion by 2050, representing a 25 percent increase over the current population. Over the next several decades, industrialized nations are predicted to account for almost all of the population increase listed above. On the other hand, urbanisation is likely to continue at an increased rate, with about 70% of the world's population expected to live in cities by 2050, according to projections (currently 49 percent).
Furthermore, income levels will be multiple what they are present, resulting in increased food consumption, particularly in emerging nations. Consequently, their diet and food quality will be more careful in these countries; as a result, consumer preferences will change away from wheat and cereals and toward legumes and, eventually, meat. The global food supply has to quadruple by 2050 if we are to feed an ever large, densely populated, and prosperous population. The present annual grain output of 2.1 billion tonnes is anticipated to increase to nearly 3 billion tones. In comparison, the annual meat production is predicted to increase by more than 200 million tones to fulfil the need for 470 million tonnes of meat (Abhishek, et al., 2019). As a result, many countries' economies rely heavily on crops such as cotton, rubber, and gum, which are significant for their part in food supply and their function in agricultural production.
In addition, the demand for bio-energy derived from food crops has lately begun to rise due to the global food crisis. Only 110 million tones of coarse grain (about 10% of total global output) were utilized for ethanol production even a decade ago, according to the International Energy Agency (Elder and Hayashi, 2018). According to the FAO, the growing use of food crops for biofuels generation, bioenergy production, and other industrial purposes are putting food security at risk.
As a result of these demands, the already-stressed agricultural resources will be put under even greater strain in the future. A wide range of implementations, protocols, and prototypes are available in the agriculture industry on a broad scale. In IoT agricultural research, the most recent developments include network platforms, network architecture, applications, security, and difficulties, including but not limited to (Jayaraman et al., 2016). In addition, a slew of Internet of Things laws and standards for the agriculture sector has been implemented in several nations and organizations throughout the globe. A significant amount of work has been done in the Internet of Things agricultural environment. There is a need for thorough Internet of Things analysis in the context of agriculture to comprehend the present state of research. With the Internet of Things (IoT) innovation, this invention examines numerous difficulties and trends in IoT smart farming to revolutionize agricultural technology.
Precision agricultural technology, such as GPS systems, sensors, and Big Data, to increase crop yields is becoming more popular. As well as providing information on all elements of farming at a level of granularity that was previously impossible, ICT-based decision support systems supported by real-time data have the potential to supplement rather than replace farmers' expertise and gut instinct. This makes it easy to make smarter decisions, which results in reduced waste and more operational efficiency. The disciplines and talents presently required in agriculture are computer-based imaging, GPS technology, scientific solutions, climate forecasts, technological solutions, environmental controls, and other related fields.
SUMMARY OF THE PRESENT INVENTION:
Farmers' long-standing goal to guarantee that their land is sustainable in the future has laid the groundwork for the Internet of Things-based agricultural production system. Aspects of it also meet the community's demands and concerns regarding healthful food and environmental safety. Agriculture production system employing Internet of Things technology was designed and then implemented as a graphical user interface (GUI) visualisation tool for use in farming. By analysing the relationship between crop statistical information and information on the agricultural climate, the IoT-based agricultural production system has enhanced farmers' capacity to analyse present circumstances and estimate future harvests. The quality of agricultural goods may also be enhanced due to this agricultural production approach based on the Internet of Things since farmers can follow the full cycle from sowing to sale using this technology.
In many respects, the internet is transforming many aspects of day-to-day agricultural operations, mostly due to the Internet of Things. Waste reduction, greater pest management, and higher production are some of the benefits of the Internet of Things technology in agricultural operations, to name a few. Farmers will continue to confront escalating expenses and limited resources, and Internet of Things (IoT) technology will be essential in cutting costs and maximizing yields from existing resources. A new farming era is being ushered in with the Internet of Things (IoT). Agricultural drones and sensors and smart farming are becoming more popular among farmers, and high-tech farms are becoming more and more commonplace. With real-time field monitoring enabled by the Internet of Things, Smart Farming helps to improve the overall performance of the agricultural system. Because of the usage of sensors and interconnectivity, the Internet of Things in Agriculture has saved farmers' time. Still, it has also helped reduce the wasteful use of resources such as water and power.
Other embodiments of the present disclosure will also become readily apparent to those skilled in the art from the following detailed description of the embodiments concerning the accompanying figures, the intention not being limited to any particular embodiment or any particular set of embodiments disclosed in any particular case.
While the present invention is described herein by example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the images of drawing or drawings described and are not intended to represent the various scale components. Further, some features that may form a part of the invention may not be illustrated in specific figures for ease of illustration. Such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed descriptions are not intended to limit the invention to the particular form disclosed. Still, on the contrary, the story is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout
In this description, the word "may" is used in a permissive sense (i.e., meaning having the potential to) rather than the mandatory reason (i.e., meaning must).
Further, the words "a" or "an" mean "at least one," and the word "plurality" means "one or more" unless otherwise mentioned. Furthermore, the terminology and phraseology used herein are solely for descriptive purposes and should not be construed as limiting. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed after that, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the words "including" or "containing" for applicable legal purposes. Any discussion of documents, materials, devices, articles, and the like are included in the specification solely to provide a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.
In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase "comprising," it is understood that we also contemplate the same design, component or group of elements with transitional words "consisting of," "consisting," "selected from the group of consisting of, "including," or "is" preceding the recitation of the composition, element or group of elements and vice versa.
The present invention is described from various embodiments concerning the accompanying drawings, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. However, this invention may be embodied in many different forms and should not be construed as limited to the embodiment. Instead, the image is provided so that this disclosure will be thorough and complete and fully convey the invention's scope to those skilled in the art. The following detailed description provides numeric values and ranges for various implementations described. These values and ranges are treated as examples only and are not intended to limit the claims' scope. Also, several materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the invention's scope.
A more particular description will be rendered by referencing specific embodiments illustrated in the appended drawings to clarify various aspects of some example embodiments of the present invention. It is appreciated that these drawings depict only illustrated embodiments of the story and are therefore not considered limiting its scope. The invention will be described and explained with additional specificity and detail through the accompanying drawings.
So that the advantages of the present invention will be readily understood. A detailed description of the story is discussed below in conjunction with the appended drawings, which should not be considered to limit the scope of the invention to the accompanying drawings.
Further, another user interface can also be used with the relevant modification to provide the results above with the same modules, its principal, and protocols for the present invention.
It is to be understood that the above description is intended to be illustrative and not restrictive. For example, the above-discussed embodiments may be used in combination. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description.
The benefits and advantages which the present invention may provide have been described above about specific embodiments. These benefits and advantages and any elements or limitations that may cause them to occur or become more pronounced are not construed as critical, required, or essential features of any or all embodiments.
While the present invention has been described concerning particular embodiments, it should be understood that the images are illustrative and that its scope is not limited to these embodiments. Many modifications, additions, and improvements to the embodiments above are possible. It is contemplated that these variations, changes, additions, and improvements fall within the invention's scope.
DETAILED DESCRIPTION OF THE INVENTION:
The information technology infrastructure distinguishes precision agriculture at the other end of the supply chain, namely the decision support system in the back office. While still in its early stages, the concept of "the linked farm" is becoming more real. Farming activities, in particular, are becoming more closely linked not only to one another but also to a variety of historical data, such as weather events, climate, economics and product details and specifications, system settings and so on. This is enabled by the Internet of Things, which connects processes so that agricultural practices may be interpreted in a more holistic, multidimensional manner, ultimately allowing for a better knowledge of how the whole ecosystem operates. In the future, precision agriculture will be replaced by 'decision-making agriculture' or "smart agriculture."
According to technical levels and structures, the internet of things is being studied, and research is being carried out on the internet of things based on its most recent creation and available technology analysis of the internet of things, which are both being carried out concurrently. The investigation of technologies such as RFID, ZigBee, sensors, cloud computing, and so on starts with three aspects, namely data collection, network service, data fusion, and computation, respectively. Based on this research, the technical system architecture for the internet of things is further developed. In addition, an investigation and research into the sensor nodes of the system and an analysis and debate of the many technologies involved were carried out. It is a network that enables a variety of intelligent activities such as identification, positioning, tracking, monitoring, and management by connecting devices such as RFID, Smart Sense, GPS (Global Positioning System), and other similar technologies to wireless network objects through interfaces to provide intelligence and thus realizing contact and dialogue between humans and objects as well as objects with each other.
Smart agriculture and precision farming are starting to gain traction. Still, they may simply be the beginning of far higher use of technology in the agricultural sector in the future. The development of blockchain technology is finding its way into the Internet of Things. Because of its capacity to offer corporations vital crop data, it has the potential to be very useful in the agricultural industry, particularly in the United States. Farmers may employ sensors to capture agricultural data stored on the block chain, such as identifying factors, salt and sugar content, and pH levels, and then store it on the block chain. By 2023, there will be about 12 businesses focused on Insider Intelligence throughout the world.
Furthermore, according to the IT giant IBM, an average farm may generate half a million data points every day, which can raise yields and increase revenue for farmers. Drones can spray fertilizer 40 to 60 times faster than humans, resulting in significant cost savings. Farmers are increasingly turning to agricultural drones and satellites for the future of farming, which is obvious when you consider all of the potential benefits that these Internet of Things applications in agriculture may provide. Drones enable farmers to track how far their crops have progressed during their distinct growth stages. In addition, growers may use drones to spray ill crops with chemicals to bring them back to life. According to the company, Drone Fly claims that drones can spray fertilizer 40 to 60 times quicker than humans can do it by hand.