Real time weed detection [Student]
Introduction
Weed control is a key element in precision agriculture. In computer vision, variety of techniques are developed to detect, identify and locate weeds in different crops. Chemical weed control is widely practiced to reduce infection rates and improve crops. Targeting weeds and minimizing the exposure of the crops to sprayed agrochemicals results in high quality and safe food production.
Related Smart Farming Technology Products
Intelligent Spot Spraying System by Agrifac[2]
Related Scientific Articles
Real Time Weed Detection using a Boosted Cascadeof Simple Features[3]
In this article, the authors present a real-time new weed detection method, through an embedded monocular vision. Their approach was based on the use of a cascade of discriminative classifiers formed by the Haar-like features.[3]
Autonomous systems for precise spraying – Evaluation of a robotised patch sprayer[4]
In this research paper, a smart herbicide application system based on a direct-injection sprayer was developed on an autonomous unmanned tractor.
References
[1] bilberry.io/
[2] Agrifac/
[3] Adil Tannouche, Khalid Sbai, Miloud Rahmoune, Rachid Agounoune, Abdelhai Rahmani, Abdelali Rahmani (2016) Real Time Weed Detection using a Boosted Cascade of Simple Features. International Journal of Electrical and Computer Engineering (IJECE) Vol. 6, No. 6, December 2016, pp. 2755~2765
[4] Mariano Gonzalez-de-Soto, Luis Emmi, Manuel Perez-Ruiz, Juan Aguera, Pablo Gonzalez-de-Santos (2016) Autonomous systems for precise spraying – Evaluation of a robotised patch sprayer. Biosystems Engineering Volume 146, June 2016, Pages 165-182