Weed Detection Approach Using Feature Extraction and KNN Classification
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-5463-6_60
Reference16 articles.
1. Barnett TS, Bickford JP, Weger AJ (2008) Product yield prediction system and critical area database. In: 2007 IEEE/SEMI advanced semiconductor manufacturing conference, vol 4, no 3. IEEE, pp 120–140
2. Kumar G, Bhatia PK (2014) A detailed review of feature extraction in image processing systems. In: 2014 fourth international conference on advanced computing & communication technologies, vol 14, no 23. IEEE, pp 420–440
3. Everingham YL, Muchow RC, Stone RC, Coomans DH (2003) Using southern oscillation index phases to forecast sugarcane yields: a case study for Northeastern Australia. Int J Climatol 23(10):1211–1218
4. Wang D, Cai X (2009) Irrigation scheduling—role of weather forecasting and farmers’ behavior. J Water Resources Plan Manag 135(5):364–372. 30(13):620–640
5. Hu Q, PytlikZillig LM, Lynne GD, Tomkins AJ, Waltman WJ, Hayes MJ, Hubbard KG, Artikov I, Hoffman SJ, Wilhite DA (2006) Understanding farmers’ forecast use from their beliefs, values, social norms, and perceived obstacles. J Appl Meteorol Climatol 45(9):1190–1201
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