Abstract: Agriculture is an ancient profession and owing to current day scenario, there is a demand for equipment which would help the farmers in early detection of unwanted plants in the field. This would help in obtaining better yield. The proposed equipment “Plant Weed Identifier” is meant for identifying the type of plant through image processing, classification using inbuilt data set along with analyzing the exact location of the plant in the field. The mobile sensory platform with mounted arm fitted with camera helps capturing the images and these images are transferred to the processing unit where the type of plant is identified. This product will offer better advantage over manual identification as well. 4 Claims & 1 Figure
Description: Field of Invention
The present invention pertains to identifying weeds and unwanted plants in the agricultural fields using Robotic weed identifier.
Background of the Invention
One of the vital steps in improving the productivity of the agricultural crop is eradicating the weeds in the fields. Weeds are usually the unwanted plants which grow in the field due to the moisture present in the land and abundant water supply. The growth of these plants is unavoidable and it is very important to identify these plants at an early stage as they grow in numerous quantities in a short span of time. Identifying the weeds in the field is a known prior art for humans when agriculture was taken up as a family prodigy. Owing to the current scenario, employing men having suitable experience in weeding the crop seems quite a difficult task.
Weeding in the agricultural lands with smaller area is possible but when it comes to large fields, identifying weeds at an early stage and carry out weeding is at an expense of labor cost. For instance, US20210056338A1 discloses the application of identifying weeds based on the plant group. It specifically concentrates on identifying that a group of pixels in an image represent a plant in a plant group and treating the plant based on the identified plant group. The location of the pixels is also determined by the inbuilt GPS system and this helps in locating the unwanted plants in the field. The control system then actuates a identification mechanism based on the plant group. An identification map can be generated on the field indicating the location of the all the plants.
A machine configured to move all the way through the field and capture the images of wanted plants along with their location would be advantageous for the farmers. The map provided using the inbuilt GPS system is very advantageous irrespective of the size of the field. One of the major challenges faced in running such a machine is maintaining continuous power supply for its functioning. Also, its very important to configure proper database for identifying the plant group and provide proper image retrieving system.
Summary of the Invention
In light of the above mentioned drawbacks in the prior art, the present invention aims to employ a solar panel for providing continuous supply of power.
The specific objective of the invention is to design a machine which can have better mobility with uninterrupted power supply to move around the field.
A further specific objective of the invention is to able identify the weeds/unwanted plants which grow in the field at an early stage.
Brief Description of Drawings
The invention will be described in detail with reference to the exemplary embodiments shown in the figures wherein:
Figure 1 Pictorial representation of an automatic plant weed identifier
Detailed Description of the Invention
The embodiments of the present disclosure provide an automatic plant weed identifier which is meant for detecting the unwanted plants growing in the field. The Automatic Plant Weed Identifier is designed based on the following criteria i) The unwanted plants are detected using the camera fixed on the rotating mobile sensory platform, ii) The location of this plant is identified and marked using the inbuilt GPS system. Iii) To ensure continuous power supply solar connectivity is used.
With reference to the figure 1 the ‘Automatic Plant Weed Identifier’ is provided in accordance to an embodiment of the present disclosure. A wheel mounted Mobile sensory platform (3) is mounted with two 360o cameras which are meant to capture high quality images (2). A solar panel (1) is installed on the top of mobile sensory platform which is oriented at approximately 45o to the platform. This panel is used to power the battery which in turn activates the system.
In accordance to an embodiment of the disclosure, A wheel mounted flat mobile sensory platform is used for conducting the field search. The platform acts as an interface for not just mounting the above mentioned equipment but also carry an inbuilt LiDAR sensors, solar powered battery, remote control sensor for easy maneuvering, control unit for transferring the image captured by the cameras to the PC and the wheels fitted on the four sides help in consistent movement of the machine. This platform also houses a sensitive GPS system for marking the locations of unwanted plants once recognized.
The A camera (2) with lighting system will act as guiding system is fitted approximately 2 feet above the mobile sensory platform(3) on the metal frames. The cameras are equipped with IR Sensors and 360o rotation capability so that the images captured during the operation are of high resolution. The images captured are then transferred to the PC for processing using the control unit placed in the mobile platform
The entire sensory system is operated using solar powered system, where the solar panel (1) is mounted on one end of the platform. This setup ensures uninterrupted power supply to the entire machine and also makes the machine environment friendly.
The images captured by the cameras are transferred to the PC through the control unit placed in the mobile sensory platform. The image is then processed as pixels using a controlled data set 1 which has an inbuilt chip storing the previously obtained data. The pixels are then matched with the preexisting data of images of plants for identifying the plant group and place it in the relevant. Once the group is identified, the image is further deciphered into pixels to obtain the exact family of the plant. This is performed by processing the pixels through highly classified dataset for the second time and this would finally identify the plant as friendly or unwanted. Once the plant identified as a weed, the exact location of the plant is captured using the highly sensitive inbuilt GPS system. As this process progresses, a map consisting of the location of all unwanted plant is obtained which can be printed. The maneuvering of the machine is remote controlled. The hard rubber wheels support the machine during maneuvering.
4 Claims & 1 Figure , Claims: The scope of the invention is defined by the following claims:
Claim:
1. The ‘Automatic Plant Weed Identifier’ is provided in accordance to an embodiment of the present disclosure.
a) A wheel mounted Mobile sensory platform (3), two 360o cameras which are meant to capture high quality images (2).
b) A solar panel (1) is installed on the top of mobile sensory platform which is oriented at approximately 45o to the platform. This panel is used to power the battery which in turn activates the system.
c) The mobile sensory platform is fixed with cameras to capture images across the flow field area.
2. As mentioned in Claim 1, The data collected is processed using the existing data set and the unwanted plants are identified.
3. As mentioned in Claim 1, the solar panel installed on the platform would ensure uninterrupted power supply.
4. As per claim 1, the mobile sensory platform is fixed with wheels which enable easy movement of the machine throughout the field.
| # | Name | Date |
|---|---|---|
| 1 | 202241027369-COMPLETE SPECIFICATION [12-05-2022(online)].pdf | 2022-05-12 |
| 1 | 202241027369-REQUEST FOR EARLY PUBLICATION(FORM-9) [12-05-2022(online)].pdf | 2022-05-12 |
| 2 | 202241027369-DRAWINGS [12-05-2022(online)].pdf | 2022-05-12 |
| 2 | 202241027369-FORM-9 [12-05-2022(online)].pdf | 2022-05-12 |
| 3 | 202241027369-EDUCATIONAL INSTITUTION(S) [12-05-2022(online)].pdf | 2022-05-12 |
| 3 | 202241027369-FORM FOR SMALL ENTITY(FORM-28) [12-05-2022(online)].pdf | 2022-05-12 |
| 4 | 202241027369-EVIDENCE FOR REGISTRATION UNDER SSI [12-05-2022(online)].pdf | 2022-05-12 |
| 4 | 202241027369-FORM 1 [12-05-2022(online)].pdf | 2022-05-12 |
| 5 | 202241027369-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [12-05-2022(online)].pdf | 2022-05-12 |
| 6 | 202241027369-EVIDENCE FOR REGISTRATION UNDER SSI [12-05-2022(online)].pdf | 2022-05-12 |
| 6 | 202241027369-FORM 1 [12-05-2022(online)].pdf | 2022-05-12 |
| 7 | 202241027369-EDUCATIONAL INSTITUTION(S) [12-05-2022(online)].pdf | 2022-05-12 |
| 7 | 202241027369-FORM FOR SMALL ENTITY(FORM-28) [12-05-2022(online)].pdf | 2022-05-12 |
| 8 | 202241027369-DRAWINGS [12-05-2022(online)].pdf | 2022-05-12 |
| 8 | 202241027369-FORM-9 [12-05-2022(online)].pdf | 2022-05-12 |
| 9 | 202241027369-COMPLETE SPECIFICATION [12-05-2022(online)].pdf | 2022-05-12 |
| 9 | 202241027369-REQUEST FOR EARLY PUBLICATION(FORM-9) [12-05-2022(online)].pdf | 2022-05-12 |