Description:Technical field of invention:

The present invention relatesto provide a Greenhouse Intensive Care System comprises Machine Learning.

Background:

A greenhouse is amanmadeareafor growing plants in a controlled environment. The primary objective of it is to create an environment that provide essentials of plants, allowing them to grow faster and more efficiently.

Greenhouses are designed to trap heat and sunlight inside which creates a warm and humid environment that is ideal for plant growth. The temperature, humidity, and other environmental factors in a greenhouse can be controlled through various means, such as ventilation systems, heating and cooling systems, and shading devices.

The green house having more advantages like as protecting plants from pests and weather conditions and allowing for year-round production more efficient than traditional outdoor farming methods because it require less water and fertilizer and can reduce the need for pesticides and herbicides.

Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all Markush groups used in the appended claims.

The recitation of ranges of values herein is merely intended to serve as a shorth and method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context.

The use of any and all examples, or exemplary language (e.g., “such as”) provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.

The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.

Objective of the invention

The primary object of thepresent invention isto provide a Greenhouse Intensive Care System comprises Machine Learning.

Summary of the invention:

The present inventionrelatesto provide a Greenhouse Intensive Care System comprises Machine Learning.

A greenhouse is a manmade area for growing plants in a controlled environment. The primary objective of it is to create an environment that provide essentials of plants, allowing them to grow faster and more efficiently.

Greenhouses are designed to trap heat and sunlight inside which creates a warm and humid environment that is ideal for plant growth. The temperature, humidity, and other environmental factors in a greenhouse can be controlled through various means, such as ventilation systems, heating and cooling systems, and shading devices.

The green house having more advantages like as protecting plants from pests and weather conditions and allowing for year-round production more efficient than traditional outdoor farming methods because it require less water and fertilizer and can reduce the need for pesticides and herbicides.

A greenhouse intensive care system that comprises machine learning is a system designed to optimize the growth and yield of plants in a greenhouse environment. This system utilizes machine learning algorithms to analyze data collected from sensors, cameras, and other sources to make decisions about the environment in the greenhouse.

The system can monitor and control various environmental factors, such as temperature, humidity, light, and water, to create optimal conditions for plant growth.

The machine learning algorithms can learn from historical data about how different plants respond to different environmental conditions and adjust the conditions accordingly.

The system identifies and adjust factors that affecting growth of plats to create a more favorable environment for the plant to grow.

The system can also use machine learning algorithms to predict future plant growth and yield based on current environmental conditions. This can help greenhouse owners and farmers to plan for future harvests and optimize their operations.

Brief description of drawings

Figure 1 shows a block diagram representation of a Greenhouse Intensive Care System comprises Machine Learningaccording to the present invention.

Detailed description of invention:

The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

The present invention relates to provide a Greenhouse Intensive Care System comprises Machine Learning.

A greenhouse is a manmade area for growing plants in a controlled environment. The primary objective of it is to create an environment that provide essentials of plants, allowing them to grow faster and more efficiently.

Greenhouses are designed to trap heat and sunlight inside which creates a warm and humid environment that is ideal for plant growth. The temperature, humidity, and other environmental factors in a greenhouse can be controlled through various means, such as ventilation systems, heating and cooling systems, and shading devices.

The green house having more advantages like as protecting plants from pests and weather conditions and allowing for year-round production more efficient than traditional outdoor farming methods because it require less water and fertilizer and can reduce the need for pesticides and herbicides.

A greenhouse intensive care system that comprises machine learning is a system designed to optimize the growth and yield of plants in a greenhouse environment. This system utilizes machine learning algorithms to analyze data collected from sensors, cameras, and other sources to make decisions about the environment in the greenhouse.

Figure 1 shows a block diagram representation of a Greenhouse Intensive Care System comprises Machine Learning.

The system can monitor and control various environmental factors, such as temperature, humidity, light, and water, to create optimal conditions for plant growth.

The machine learning algorithms can learn from historical data about how different plants respond to different environmental conditions and adjust the conditions accordingly.

The system identifies and adjust factors that affecting growth of plats to create a more favorable environment for the plant to grow.

The system can also use machine learning algorithms to predict future plant growth and yield based on current environmental conditions. This can help greenhouse owners and farmers to plan for future harvests and optimize their operations.
, Claims:1. a Greenhouse Intensive Care System comprises Machine Learning.

2. a Greenhouse Intensive Care System comprises Machine Learningclaimed in claim 1,the system can monitor and control various environmental factors, such as temperature, humidity, light, and water, to create optimal conditions for plant growth.