Intelligence Sprayer

We are developing a robot that replace the human for spraying the crops and spray more efficiently then human it?s a fully autonyms robot. farmer only give two information?s "what type of work and where to do" farmer set the location or coordinates of field and set the spray type (everywhere or

2025-06-28 16:33:17 - Adil Khan

Project Title

Project Area of Specialization RoboticsProject Summary

We are developing a robot that replace the human for spraying the crops and spray more efficiently then human it’s a fully autonyms robot. farmer only give two information’s "what type of work and where to do" farmer set the location or coordinates of field and set the spray type (everywhere or Detection) or select the crop and weed for spray. it recognizes the crops and weed and spray only on the required plant that farmer select for spray (wee or crops). It’s a cost-efficient time saving and save soil and crops from harmful pesticides that used for removing weeds from the fields. It’s a fully autonyms robot and farmer control robot using mobile application in hot summers and in cold winters it protect human from the weather effects .it also have some good effects on human health it replaces the human for spray farmer not interact with harmful pesticides in this way farmers health become safe during spray times. it also helpful for crops health if weed killing pesticides only spray on the weeds then crop plants become healthier and plant growth not effect and yield of the crops will increase. By using AI and deep learning techniques robot will also detect huddles, and change its direction. With this robot every single illiterate farmer can take help and we want to make it as cheap as possible so it will be convenient and easy to buy for farmers .

Project Objectives

Agriculture can be a field as favourable as industry for the application of automation. The challenges for robots in agriculture are diverse. On the one hand, agriculture environments, in contrast of industrial facilities, are not structured and controlled. On the other hand, industrial process can be designed by modules to apply specific robots for specific works, whereas the complex tasks of agriculture sometimes cannot be split into simple actions. For the above reasons, agriculture applications require more versatility and robots. In the last years, multiples groups around the world have applied different automation solutions (e.g. sensor networks, manipulators, ground vehicles and aerial robots) to diverse agricultural tasks (e.g. planting and harvesting, environmental monitoring, supply of water and nutrients, and detection and treatment of plagues and diseases).

Project Implementation Method

For set the location of the robot we use gprs module farmer set the coordinates of the field using mobile application and robot using the gprs module values working inside the working area. Robt set its path using AI techniques and using camera for path detection robot chose the best path for time consumption. Robot transmit its current location to the farmer and inform farmer about area covered.

Farmer select the working method of the robot using mobile application in our robot there are two working method one is spray everywhere in robot spray all over the field as conventional method and in the second method id detection method in which farmer stet the type crop or weed and after this select crop and weed types like crops(corn or cotton) or weeds(Nut grass or Horse Purslane).

For weed and crops recognition we use CNN (convulsion neural networks) to detect crops weeds and path.

We have 500 images dataset for each crop and weed. Our neural network input image size is 135*135 and 3 rgb channels. Our neural network has two types of liner or fully connected layers one for image classification and one for object localization. Input size for fully connected layers is 18*18*16.

In training update the weights of neurons of the neural network and then test using test dataset if accuracy of network is higher than 75%, we save weights of neural network. Next time we use these weights to detect objects in the video stream that comes from the robot camera mounted at the front.

We use water level sensor to check the remaining pesticides in the robot tank and farmer check the pesticides level using mobile application and also check the betray level.

Benefits of the Project

Sprays play an important role in agriculture. They have obvious impacts on net production of the crops. Conventionally farmer used to hire a heavy labor for spraying their fields. Labors have to spray the large areas to spray and sometime due to human errors some of the patches of land remain un sprayed the unsprayed patches of field facilitate the insects. These insects can again affect the entire field some time labor claims of having sprayed the entire field however in reality they don’t in the end the net yield of the crops is very low and farmer have to bear pretty good loss. To overcome all of these problems we designing this robot.
Today as the literacy rate is increasing in the country farmer fiend it very difficult to have enough labor for spraying their fields on time our robot will help them to overcome this issue
In the conventional methods of spraying fields, a large part of the pesticides is waste if we use the robot use for spray a small amount of pesticides would be enough for the entire field
If we use robots for spraying our fields human will not come in direct contact with harm full pesticides which have detrimental effect on their health. It also prevents human from the extreme weather conditions like hot summers and cold winters because farmers will guide their robots by using mobile application

Technical Details of Final Deliverable

Fully working robot
Detect and recognize weeds and crops
Fully working mobile application.

Final Deliverable of the Project Hardware SystemCore Industry AgricultureOther Industries IT , Food Core Technology RoboticsOther Technologies Artificial Intelligence(AI), Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for People, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	69440
raspberry pi4	Equipment	2	13000	26000
raspberry camera	Equipment	2	4000	8000
robot structure	Equipment	1	5000	5000
Dc rs-775 motors	Equipment	6	450	2700
12v Water pump	Equipment	2	1700	3400
sim 808 gsm and gprs module	Equipment	1	4500	4500
l298n motor controller	Equipment	8	280	2240
STEPPER DRIVER A4988	Equipment	4	200	800
NEMA 14 and NEMA 17	Equipment	4	2000	8000
wheels	Equipment	4	1200	4800
12v beatry	Equipment	1	4000	4000

Intelligence Sprayer

More Posts