Design and Development of Automatic Weed Detection and Removal System

Pushpavalli M

Abstract


Most important approach of plant life is weed handling. Herbicides are used all over the world to control agricultural weeds now a day. Moreover practical weed controlling is done by labors and using these herbicides. In this paper automatic weed detection and removal systems was proposed to avoid the problems like herbicides staying in the agricultural fields, which leads to also an environment problem and livings of human beings. To detect and differentiate the weeds from the crop, machine vision system has been used. Two basic designs of mechanical methods are used to automatically remove weeds from the seedline. That is a mechanical rotary weeder is used to remove weeds from the inter rows and torsion weeder which removes the weeds from the within rows. This system design is based on the design of torsion weeder. The above system is designed to avoid the consumption of herbicides in the agriculture area and to replace the manpower.


Full Text:

PDF

References


N.D. Tillett, T. Hague, A.C. Grundy, A.P. Dedousis(2008), ‖Mechanical within-row weed control for transplanted crops using computer vision”,Research Paper: PA—Precision Agriculture, Bio Systems Engineering 99 ( 2008 ) 171 – 178.

Luis Emmi, Mariano Gonzalez-de-Soto, Gonzalo Pajares, and Pablo Gonzalez-de-Santos (2014) ,―New Trends in Robotics for Agriculture:

Integration and Assessment of a Real Fleet of Robots‖, Research Article, Hindawi Publishing Corporation, The Scientific World Journal Volume 2014, Article ID 404059.

T. Bakker, K. van Asselt, J. Bontsema, J. Muller, and G. van Straten (2011), ―Autonomous navigation using a robot platform in a sugar beet field‖, Biosystems Engineering, vol. 109, no. 4, pp. 357–368.

M. Li, K. Imou, K. Wakabayashi, and S. Yokoyama (2009), ―Review of research on agricultural vehicle autonomous guidance‖, International Journal of Agricultural and Biological Engineering, vol. 2, no. 3, pp. 1–16.

Sajad Kiani1, Zohreh Azimifar2, SaadatKamgar (2010), ―Wavelet based crop detection and classification‖, ICEE 2010, may 11-13.

Haug, S., Michaels, A., Biber, P., Ostermann, J, (2014), ―Plant classification system for crop /weed discrimination without segmentation. In: Applications of Computer Vision (WACV)”, IEEE Winter Conference on IEEE .

Faisal Ahmed, HasanulKabir, ShaylaBhuyan, Hossain Bari, and EmamHossain (2014),” Automated Weed Classification with Local Pattern-Based Texture Descriptors”, The International Arab Journal of Information Technology, Vol. 11, No. 1,87.

D.C. Slaughter∗, D.K. Giles, D. Downey (2008),”Autonomous robotic weed control systems: A review”,computers and electronics in agriculture 6 1–78.

A strand, B., Baerveldt, A.-J.(2005), ―A vision based row-following system for agricultural field machinery‖, Mechatronics 15, 251–269.


Refbacks

  • There are currently no refbacks.