Description:FIELD OF THE INVENTION
This invention relates to System for Monitoring and Estimating of best germination temperature for the new species using radicle protrusion test.
BACKGROUND OF THE INVENTION
At present time Temperature Gradient Plates are available and it is used for testing of seeds viability and germination percent under different temperature and it requires 16 to 35 days during this period monitoring of those seeds are needed and to monitor one has to open the Temperature Gradient Plate and then monitoring is being done. This causes minute errors in the final output.
CN111386790A The invention relates to the technical field of rice breeding, in particular to a method for identifying the low-temperature germination capacity of cold-region direct-seeded rice, when accelerating germination and when the seeds just appear white, the seeds are germinated at low temperature, variable temperature treatment is adopted to simulate the average low-temperature change of the germination period of the direct-seeding rice under natural conditions, carrying out germination control at proper temperature with the same variety, calculating the relative germination rate of the variety, establishing the evaluation index of the low-temperature germination capacity of the seeds suitable for direct seeding of the rice in the cold region, the identification method has strong referential of identification results, large processable quantity in the same batch, good repeatability, combines the actual field performance of the varieties at the early stage, the method can well evaluate the low-temperature germination capacity of different rice varieties, and can provide germplasm resources suitable for direct seeding and direct seeding rice breeding for the cold rice area under the natural condition that the available activity temperature in the cold rice area is limited.
RESEARCH GAP: Our system relates to all the types of seeds and monitors the best germination temperature of new plant species.
CN105941032A The invention relates to a rice planting method with intelligent water level monitoring. The method is characterized in that a water inlet, a water outlet, a water level detector and a terminal are involved in the method, wherein the water inlet and the water outlet are formed in a rice field, the water level detector is arranged in the center of the rice field, the terminal is connected with the water inlet, the water outlet and the water level detector, the water inlet and the water outlet are provided with valves, the valves are connected with the terminal, and the terminal controls switching-on and switching-off of the valves. According to the method, the water level detector is arranged in the rice field and sends water level information to the terminal, and the terminal receives the water level information of the water level detector, then compares the actual water level with a preset water level and then sends information to the valve of the water outlet or the valve of the water inlet to determine whether water is supplemented or is discharged. By means of the method, the frequency of going to the field can be reduced for farmers, so that the labour intensity of farmers is relieved; besides, the standardization of rice growth can be improved, so that rice is high in output value, and rice grains are good in uniformity.
RESEARCH GAP: Our system measures or estimates the germination or radical size emerged from seeds
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to system for monitoring and estimating of best germination temperature for the new species using radicle protrusion test.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Present invention comprises temperature gradient plate, Vision Nodes, Node. This system is used for identifying of temperature required for newly found plant species seeds to germinate. All these vision nodes do real time monitoring of seeds germination. These vision nodes are connected to the node which is integrated with Wi-Fi Module. It is powered through external power, the power source same for Temperature Gradient Plate and our system.
Present invention comprises of Temperature and Humidity Sensor, Vision Node 1, Vision Node 2, Vision Node n, Controlling Unit, AI Model, Wi-Fi Module, Cloud Server, Power Source and Web App. In this architecture we have shown the components that are used. In this system we have used vision nodes 1, 2, n, so that all the seed bed cubes could be covered easily, these vision nodes are powered through external power source same that of Temperature Gradient Plate power source, it has temperature and humidity sensor also to record the exact temperature and humidity under which a seed germinates best as it is used to discover the best suited temperature for newly developed varieties. These vision nodes and temperature and humidity sensor are connected to the controlling unit in which is AI Models has introduced to estimate/measure the germination of seeds at a particular and specific temperature. And all the system’s data could communicate through Wi-Fi to the cloud server and from cloud server to the web App which could be accessed through desktop.
Present invention demonstrating architecture of vision node 1, vision node 2 and vision node n, comprises of camera, volumetric measurement sensor and power source. this vision node is responsible for capturing data from temperature gradient plate. It monitors the real-time seed germination under the temperature gradient plate. The camera captures the real-time visual data and the volumetric measurement sensor captures the real-time germination estimation data. This volumetric measurement sensor considers 4 cells as one section. All these data are then transferred to the controlling unit assisted with image processing unit.
Present invention Comprises of vision node, power source, cloud server, wi-fi module, web app, controlling unit, Image Processing Unit. This node is the central processing unit of whole system. This node is responsible for processing of all image data captured by all vision nodes and transferring to the cloud server which can be seen on dashboard of mob/web app.
Present invention showing dashboard of web/mob app which is showing real-time data of temperature of seeds putted on temperature gradient plate. This app records the previous data like date time and temperature section wise and also real-time temperature data can be seen according to section as shown above left-hand side.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Fig. 1 Overview of Temperature Gradient Plate
Fig. 2 Schematic Architecture whole system
Fig. 3: Architecture Of Vision Node 1, Vision Node 2 And Vision Node N
Fig. 4 Architecture of Node 200
Fig. 5 Dashboard of Web/Mob App
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Present invention comprises temperature gradient plate, Vision Nodes, Node. This system is used for identifying of temperature required for newly found plant species seeds to germinate. All these vision nodes do real time monitoring of seeds germination. These vision nodes are connected to the node which is integrated with Wi-Fi Module. It is powered through external power, the power source same for Temperature Gradient Plate and our system.
Present invention comprises of Temperature and Humidity Sensor, Vision Node 1, Vision Node 2, Vision Node n, Controlling Unit, AI Model, Wi-Fi Module, Cloud Server, Power Source and Web App. In this architecture we have shown the components that are used. In this system we have used vision nodes 1, 2, n, so that all the seed bed cubes could be covered easily, these vision nodes are powered through external power source same that of Temperature Gradient Plate power source, it has temperature and humidity sensor also to record the exact temperature and humidity under which a seed germinates best as it is used to discover the best suited temperature for newly developed varieties. These vision nodes and temperature and humidity sensor are connected to the controlling unit in which is AI Models has introduced to estimate/measure the germination of seeds at a particular and specific temperature. And all the system’s data could communicate through Wi-Fi to the cloud server and from cloud server to the web App which could be accessed through desktop.
Present invention demonstrating architecture of vision node 1, vision node 2 and vision node n, comprises of camera, volumetric measurement sensor and power source. this vision node is responsible for capturing data from temperature gradient plate. It monitors the real-time seed germination under the temperature gradient plate. The camera captures the real-time visual data and the volumetric measurement sensor captures the real-time germination estimation data. This volumetric measurement sensor considers 4 cells as one section. All these data are then transferred to the controlling unit assisted with image processing unit.
Present invention Comprises of vision node, power source, cloud server, wi-fi module, web app, controlling unit, Image Processing Unit. This node is the central processing unit of whole system. This node is responsible for processing of all image data captured by all vision nodes and transferring to the cloud server which can be seen on dashboard of mob/web app.
Present invention showing dashboard of web/mob app which is showing real-time data of temperature of seeds putted on temperature gradient plate. This app records the previous data like date time and temperature section wise and also real-time temperature data can be seen according to section as shown above left-hand side.
ADVANTAGES OF THE INVENTION
1. It will help in real-time monitoring without bringing it out.
2. No errors in the final output as no interruption during the germination of seeds in Temperature Gradient Plate.
3. Easy monitoring of seeds under Temperature Gradient Plate without interruption from outside whenever it requires.
4. Estimation or measuring the percentage of emerged/germinated radicles from the total number of seeds in the Temperature Gradient Plate from outside only with the help of computer.
, Claims:1. A System for Monitoring and Estimating of best germination temperature for the new species using radicle protrusion test comprises a plurality of Vision Node (1, 2, n), Temperature and Humidity sensor (100), Power Source (101), Cloud Server (102), Wifi Module (104), Image Processing Unit (105), Controlling Unit (106), Node (200), Power Source (300), Volumetric Measurement Sensor (310), Camera (320) and Controlling Unit (330) wherein measuring the number of emerged/germinated radicles from the total number of seeds in the Temperature Gradient Plate from outside only with the help of computer vision.
2. The system as claimed in claim 1, wherein the camera captures the real-time visual data and the volumetric measurement sensor captures the real-time germination estimation data.
3. The system as claimed in claim 1, wherein the vision node is responsible for capturing data from temperature gradient plate, it monitors the real-time seed germination under the temperature gradient plate.
4. The system as claimed in claim 1, wherein the Wifi module used to connect the vision nodes.
5. The system as claimed in claim 1, wherein the system is powered by the external power source.
6. The system as claimed in claim 1, wherein the temperature and humidity sensor also to record the exact temperature and humidity under which a seed germinates best as it is used to discover the best suited temperature for newly developed varieties and connected to the controlling unit in which is AI Models has introduced to estimate/measure the germination of seeds at a particular and specific temperature.
7. The system as claimed in claim 1, wherein vision nodes and temperature and humidity sensor are connected to the controlling unit in which is AI Models has introduced to estimate/measure the germination of seeds at a particular and specific temperature.
8. The system as claimed in claim 1, wherein all the system’s data could communicate through Wi-Fi to the cloud server and from cloud server to the web App which could be accessed through desktop.