Crop (Sunflower) Yield Estimator and Growth Accessor System Using Machine Learning

Project Title

Crop (Sunflower) Yield Estimator and Growth Accessor System Using Machine Learning

Project Area of Specialization Artificial IntelligenceProject Summary

In this project the yield estimation of sunflower plant is calculated by machine learning. By this we can achieve accuracy in calculation and estimation of yield. The purpose of this project is to help farmers to know the yield of the crop. Predicting the crop yield before its harvest highly support the farmers and management (policy makers). Purchasers can make good and beneficial decisions. As Pakistan is an agricultural country so by this project, we will see rapid and good impact on our economy. Sunflower is also an edible crop, so our purpose is to increase the growth rate of the crop by different aspects like by monitoring the growth at regular intervals, by adding different good and harmless fertilizers etc. Our project purpose is also to aware people from fraud through advance estimation of yield.

Project Objectives

The purpose of our system is to estimate the yield and growth of sunflower crop specifically with accurate outcome by using latest tools and technologies. In our project drone will take valid images used which are used in app for yield calculation and growth assessment. Dataset used for training and testing provide us the most accurate and efficient results within no time. Our system is user friendly so that everyone can use this easily. Users can predict the yield accurately by using our system. Farmers can increase the growth as our system also suggest suitable fertilizers. As in this era people want fast and precise outcomes our project meets the latest trends and requirements of people. By using our software one can easily make better decisions. Our main concern is to provide best quality and results to our users.

Project Implementation Method

This system is very beneficial for its end users. Images will be used as input for software with the help of camera. The drone will take real time images of the crop, then it detects either the crop is sunflower or not (if not then it asks for sunflower image). Then the drone makes its variable height according to the ground. System will generate Alert message on screen if drone height is more than the set standards. The camera will provide a clear image to software. Google Colab is used for traning the Data Set. Then by using OpenCV it can measure the size of the head of the sunflower. Which will give us diameter of the sunflower. We have data set of different sizes of heads with their average yield of previous 5 to 10 years (it could be standard for heads). The system will compare the size of the heads with given data set and will take the corresponding value of yield (oil production). After the detection of all heads in the image, we have some different values of different head sizes. Finally, the system will add all values to estimate the calculated yield and show to end user. The growth of the plant can also be checked at regular intervals.

Benefits of the Project

• This software will calculate the estimated yield of the sunflower crop.
• This software also checks growth of the sunflower by comparing the standard growth of sunflower. And suggest most suitable fertilizer for proper growth of the sunflower, if required.
• Farmer can check their estimated yield production after the used of this software. If the yield calculated by software is not equal to that of their expected, then they used more agricultural techniques to increase the growth of their filed.
• Oil industries can also use this software to check the expected yield of the crop, to prevent  any future loss.
• Buyers will make profitable and advantageous choices.

Technical Details of Final Deliverable

A complete project report which includes:

• Hardware(Drone)
          Using for capturing images
• Website Mockups
          Website Architecture
• Software(Edraw Max, Google Colab)
           Tools using for designing to                                 traning Datasets
• User Interfaces
           User interaction with the system
  • SRS
              Requirment Analysis                      Document
• Design(UML diagrams)
• Coding
• Testing

Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies Big DataSustainable Development Goals Decent Work and Economic Growth, Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
Drone	Equipment	1	46000	46000
Mobile Camera	Equipment	1	24000	24000
Website Hosting	Miscellaneous	1	10000	10000