GENETIC INNOVATIONS AND MACHINE LEARNING FOR ENHANCING CROP TRAITS AND PROMOTING SUSTAINABLE AGRICULTURE

Abstract

Genetic Innovations and Machine Learning for Enhancing Crop Traits and Promoting Sustainable Agriculture is the proposed invention. The proposed invention focuses on understanding the functions of Sustainable Agriculture. The invention focuses on analyzing the parameters of Crop Traits using algorithms of Genetic Innovation Approach.

Specification

Description:[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Genetic innovations refer to the development of new technologies or techniques that allow for the manipulation and modification of an organism's genetic material (DNA), enabling the creation of new traits or functionalities within a species, often used in fields like medicine, agriculture, and research, with prominent examples including gene editing tools like CRISPR-Cas9 that can precisely alter specific DNA sequences.
[0003] A number of different types of sustainable agricultural development practices that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] US2200532A: This invention relates to a bacterial culture The inoculation of seeds is particularly desirand more specifically to a bacterial culture useable where it is desired to plant them in a soil ful for the inoculation of the seeds of leguminous that has not grown a plant of the same species plants, for a number of years. In order to insure a It is well known that certain plant species of maximum amount of nitrogen fixation and dethe genus leguminosae may under certain convelopment of the leguminous plant, it is always dltions fix-nitrogen directly from the air and desirable to inoculate e See s P e s to the planting thereof.
[0005] Machine learning is a type of artificial intelligence (AI) that allows computers to learn and improve from experience without being explicitly programmed. Machine learning uses algorithms to analyze large amounts of data, identify patterns, and make predictions. The more data a machine learning system is exposed to, the better it performs. Machine learning is used in many areas, including healthcare, entertainment, shopping carts, and homes. The proposed invention focuses on analyzing the Crop Traits through algorithms of Genetic Innovation Approach.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of sustainable agricultural development practices now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved Machine learning based approach integrated with genetic innovations to achieve sustainable agricultural practices that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of sustainable agricultural development practices now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved Machine learning based approach integrated with genetic innovations to achieve sustainable agricultural practices which has all the advantages of the prior art and none of the disadvantages.
[0009] The Main objective of the proposed invention is to design & implement a framework of Genetic Innovation techniques for analyzing the parameters of Crop Traits. Genetic Innovations and Machine Learning for Promoting Sustainable Agriculture is analyzed.
[0010] Yet another important aspect of the proposed invention is to design & implement a framework of Machine Learning techniques that will consider on understanding the functions of Sustainable Agriculture. Genetic Innovations and Machine Learning for Enhancing Crop Traits is analyzed by predictive unit. The results of prediction are displayed on the display unit.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the schematic view of Genetic Innovations and Machine Learning for Enhancing Crop Traits and Promoting Sustainable Agriculture, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0015] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one" and the word "plurality" means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of", "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0017] Crop traits refer to the inherent characteristics of a plant cultivated as a crop, including features like its growth pattern, disease resistance, yield potential, maturity time, nutrient use efficiency, and ability to withstand environmental stresses, all of which contribute to its overall performance and suitability for agricultural production. The most important aspect of crop traits is their influence on the final yield of the crop, which is usually measured by the amount of harvestable product per unit area.
[0018] Sustainable agriculture is farming in sustainable ways meeting society's present food and textile needs, without compromising the ability for current or future generations to meet their needs. It can be based on an understanding of ecosystem services. There are many methods to increase the sustainability of agriculture. When developing agriculture within sustainable food systems, it is important to develop flexible business processes and farming practices. The proposed invention focuses on implementing the algorithms of Machine Learning Approach for studying the functions of Sustainable Agriculture.
[0019] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0020] Figure 1 illustrates the schematic view of Genetic Innovations and Machine Learning for Enhancing Crop Traits and Promoting Sustainable Agriculture 100. The proposed invention 100 includes an agricultural land 101 which is analysed for its genetical patterns using analysis unit 102. The machine learning unit 103 will run predictive algorithm 104 for predicting the need for sustainable agriculture. The IOT unit 105 will alert the formers through genetical analysis unit 102 such that the plants can be grown efficiently with sustainability.
[0021] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
, Claims:1. Genetic Innovations and Machine Learning for Enhancing Crop Traits and Promoting Sustainable Agriculture, comprises of;
Machine learning unit;
Predictive unit and
IOT unit.
2. Genetic Innovations and Machine Learning for Enhancing Crop Traits and Promoting Sustainable Agriculture, according to claim 1, includes a machine learning unit, wherein the machine learning unit will run predictive unit.
3. Genetic Innovations and Machine Learning for Enhancing Crop Traits and Promoting Sustainable Agriculture, according to claim 1, includes a predictive unit, wherein the predictive unit will predict the need for sustainable agriculture.
4. Genetic Innovations and Machine Learning for Enhancing Crop Traits and Promoting Sustainable Agriculture, according to claim 1, includes an IOT unit, wherein the IOT unit will alert the formers through genetical analysis unit.

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