Development AI based Agri Robot for Weed Management

Abstract

This project strives to develop a robot which is capable of performing operations to detect weed and remove weed by spraying(chemical) and mechanical methods. The mobile operated ROBOT is a concept where a human being can control a ROBOT by an android app by remote or wireless operation, without physical intervention of human being. The motion of the robot will be controlled by remote buttons and voice commands in the android app. After that Robot remembers the route that is trained using android app. Density of grass is sensed by robot and based on that decision is taken to apply method of removing weed. Boundary areas of field are provided to robot using android app. The main controller is the microcontroller (Rasberi Pi 4B) that supervises the entire process. Farmer can utilize this robot to decrease the labour and increase yield of crops so that the profit and efficiency will be higher and also water and soil pollution will be less. This method is the best solution to remove weed and save environment.

Country : India

1 Sunil Morade2 Ramesh Khinde3 Chetan Gujarathi4 Nandan Kasat5 Prajwal Nikam

  1. Associate Professor, E & Tc Department, K. K. Wagh IEER, Nashik, Maharashtra, India
  2. Assistant Professor, E & Tc Department, K. K. Wagh IEER, Nashik, Maharashtra, India
  3. Student, E & Tc Department, K. K. Wagh IEER, Nashik, Maharashtra, India
  4. Student, E & Tc Department, K. K. Wagh IEER, Nashik, Maharashtra, India
  5. Student, E & Tc Department, K. K. Wagh IEER, Nashik, Maharashtra, India

IRJIET, Volume 7, Special Issue of ICRTET- 2023 pp. 32-35

IRJIET.ICRTET08

References

  1. A.G. Kavitha, G. Rakshitha, S. P. Rashmi , M. C. Shilpashree , H. S. Shreevidya” Trainable Automatic Wireless Controlled Robot for Removal of Agricultural Weeds”, International Journal of Research in Engineering, Science and Management, 3, 2581-5792, 2020.
  2. Tijmen Bakker, Kees van Asselt , Jan Bontsema , Joachim Muller and Gerrit van Straten”, An Autonomous Weeding Robot for Organic Farming”, Springer-Verlag Berlin Heidelberg, 579–590, 2006.
  3. Xiaolong Wu, Stephanie Aravecchi, Philipp Lottes, Cyrill Stachniss and Cedric Pradalier”, Robotic Weed Control Using Automated Weed and Crop Classification” HAL, 2020.
  4. Victor Partel, Sri Charan Kakarla and Yiannis Ampatzidis “Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence”, Computers and Electronics in Agriculture, Elseveir, Volume 157, 339-350, 2019.
  5. Rekha Rajaa, Thuy T. Nguyena, David C. Slaughtera, Steven A. Fennimore,” Real-time weed-crop classification and localisation technique for robotic weed control in lettuce ”, Elsevier, 2020.
  6. Mantraksha Jamdade, Radhika Yadav, Sanskriti Patil , “Weed Removing Robot” , International Research Journal of Modernization in Engineering Technology and Science, 02, 09, 2020.
  7. David Reiser , El-Sayed Sehsah , Oliver Bumann , Jörg Morhard and Hans W. Griepentrog, “Development of an Autonomous Electric Robot Implement for Intra-Row Weeding in Vineyards”, Agriculture, 9, 18, 2019.
  8. Anirudha .S. Tadpatri, Pramod P Ugargo l, Rakesh Shridhar, “Autonomous Herbicides Spraying System Using AI and IOT”, International Journal of Engineering Research & Technology (IJERT) Vol. 10, 09, 2021.
  9. U. Farooq, A. Rehman, T. Khanam, A. Amtullah, M. A. Bou-Rabee and M. Tariq, "Lightweight Deep Learning Model for Weed Detection for IoT Devices," 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), Patna, India, 1-5, 2022.
  10. R. Aravind, M. Daman and B. S. Kariyappa, "Design and development of automatic weed detection and smart herbicide sprayer robot," IEEE Recent Advances in Intelligent Computational Systems (RAICS), Trivandrum, India, 257-261, 2015.
  11. B. Maram, S. Das, T. Daniya and R. Cristin, "A Framework for Weed Detection in Agricultural Fields Using Image Processing and Machine Learning Algorithms," 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP), Hyderabad, India, 1-6, 2022.
  12. Y. Du et al., "A Low-cost Robot with Autonomous Recharge and Navigation for Weed Control in Fields with Narrow Row Spacing," 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 3263-3270, 2021.
  13. S. Fatma and P. Parimita Dash, "Moment Invariant Based Weed/Crop Discrimination for Smart Farming," 2019 International Conference on Computer, Electrical & Communication Engineering (ICCECE), Kolkata, India, pp. 1-5, 2019.