BACKGROUND OF THE INVENTION
Field of the Invention
The present invention relates to sensing the agricultural parameters and taking necessary actions by using the automated robot.
SUMMARY OF THE INVENTION:
Irrigation is a scientific process of artificially supplying water to the land or soil that is being cultivated. The cyborg operates based on the instructions provided by the microcontroller which is being programmed using Embedded C and MATLAB code which is guided accordingly with the machine learning algorithms from the images being observed by the camera placed on the cyborg. The preferred ML Algorithms are neural link and Support Vectors Machines. The datasets are already stored and being trained and fitted to be compared with the test data to check the accuracy and labeling of image is being done. Plant's soil detection and pesticide calculation is also done, but water control and over irrigation is controlled along with various sensors.
BRIFE DESCRITION OF THE DRAWINGS:
In this model, we propose a device called *Cyborg (An Automated Robot)' which makes use of the Machine Learning algorithm and Mat lab by which it constantly gives the results/Suggestions to the farmer as well as to the cyborg (robot) by processing the sensing datasets and the images captured by the camera in the cyborg. The overall manual operations such as pesticide spraying, cutting unwanted grass as well as plants and sensing mechanism is controlled by a Microcontroller. The cyborg is connected with the Station/System by a Wi-Fi module. Wi-Fi is used to transfer the data such as sensor data, images and also to establish a connection a between the Station and the Cyborg. By processing the datasets by the Machine Learning Algorithm and Mat lab the cyborg takes the necessary action to enhance the crop yield and to maintain the moisture level in the agricultural field.
DETAILED DESCRIPTION OF THE DRAWINGS:
The Cyborg is an automated robot which makes its decision by mainly using the Machine learning algorithm and Mat lab. The Machine Learning Algorithm proposed in this system is a Supervised Machine Learning process. The Supervised Machine Learning is a process where the input records are represented with examples to the corresponding outputs. The intention of this function is to create a rule on the way to map the inputs to the corresponding outputs. In some cases, the inputs will not be to be had that could cause low output. The trained version is then utilized in supervised mastering to be expecting the disappeared manufacturing, and then the facts are being tested. The Prediction is made on the basis of the trained and evaluation model. The images which are captured by the camera in the cyborg will undergo a basic level image enhancement so that the we can acquire an exact output. Followed by, the Pic Microcontroller is a Peripheral Interface Microcontroller. Which performs the manual operations of the cyborg. Sensors such as temperature sensor, moisture sensor and camera are initially connected to the controller. The sensors sense the agricultural parameters and sends the data to the Pic Microcontroller. The, controller, transfers the.datasets :to ithe. station/system-via Wi-Fi module

Claims :
I Claim
1. The Robotic arm claims the potency to ensure that all the vital well being i.e the weeds, pesticides are taken care of as well as the most important ordinate not only for the plant but also for every well being which is water, is being used to the required level alone.
2. The arm detects the weed in the growing stages from time to time and make sure that the plant is well taken care of.
3. The single camera that detects the weed also detects the pesticides level to inform the user.
4. The most important factor in today's environment is freshwater which is getting scarce every day. This model makes sure that water level is used to the most minimum level possible with the temperature and the soil moisture level taken into consideration, which in turns saves up a huge level of water for the farmers.
5. It also takes the responsibility to show the farmer the level of pesticide that should be put on the plant thus making the work even simpler.
6. This model will provide efficient and reliable information so that the plant is taken care day to day by using the utmost minimum resources and also helps the farmer also keep track of the crops/ plants being cultivated.
7. Since everything automatic and computer based analysis the expected error this minimal than the human error.
8. In future the model can be adapted to the wireless model.

BACKGROUND OF THE INVENTION
Field of the Invention
The present invention relates to sensing the agricultural parameters and taking necessary actions by using the automated robot.
SUMMARY OF THE INVENTION:
Irrigation is a scientific process of artificially supplying water to the land or soil that is being cultivated. The cyborg operates based on the instructions provided by the microcontroller which is being programmed using Embedded C and MATLAB code which is guided accordingly with the machine learning algorithms from the images being observed by the camera placed on the cyborg. The preferred ML Algorithms are neural link and Support Vectors Machines. The data sets are already stored and being trained and fitted to be compared with the test data to check the accuracy and labeling of image is being done. Plant's soil detection and pesticide calculation is also done, but water control and over irrigation is controlled along with various sensors.
BRIFE PESCRITION OF THE DRAWINGS:
In this model, we propose a device called 'Cyborg (An Automated Robot)' which makes use of the Machine Learning algorithm and Mat lab by which it constantly gives the results/Suggestions to the farmer as well as to the cyborg (robot) by processing the sensing datasets and the images captured by the camera in the cyborg. The overall manual operations such as pesticide spraying, cutting unwanted grass as well as plants and sensing mechanism is controlled by a Microcontroller. The cyborg is connected with the Station/System by a Wi-Fi module. Wi-Fi is used to transfer the data such as sensor data, images and also to establish a connection a between the Station and the Cyborg. By processing the datasets by the Machine Learning Algorithm and Mat lab the cyborg takes the necessary action to enhance the crop yield and to maintain the moisture level in the agricultural field.
DETAILED DESCRIPTION OF THE DRAWINGS:
The Cyborg is an automated robot which makes its decision by mainly using the Machine learning algorithm and Mat lab. The Machine Learning Algorithm proposed in this system is a Supervised Machine Learning process. The Supervised Machine Learning is a process where the input records are represented with examples to the corresponding outputs. The intention of this function is to create a rule on the way to map the inputs to the corresponding outputs. In some cases, the inputs will not be to be had that could cause low output. The trained version is then utilized in supervised mastering to be expecting the disappeared manufacturing, and then the facts are being tested. The Prediction is made on the basis of the trained and evaluation model.

The images which are captured by the camera in the cyborg will undergo a basic level image enhancement so that we can acquire an exact output. Followed by, the Pic Microcontroller is a Peripheral Interface Microcontroller. Which performs the manual operations of the cyborg. Sensors such as temperature sensor, moisture sensor and camera are initially connected to the controller. The sensors sense the agricultural parameters and sends the data to the Pic Microcontroller. The controller transfers the datasets to the station/system via Wi-Fi module integrated in the cyborg. The machine learning algorithm and mat lab process the datasets and sends the results back to cyborg via the same Wi-Fi module. The cyborg performs the operations based on the results.