Compartmentalization of Wheat Cultivars by Employing Computer Vision - Softcover

Raj, Mayur; Swaminarayan, Priya

Softcover

ISBN 10: 6139950961 ISBN 13: 9786139950966

Verlag: LAP LAMBERT Academic Publishing, 2018

Inhaltsangabe

Machine learning methods majorly comprise image processing and soft computing methods and are mainly responsible for automation. Wheat production is influenced by assorted varying factors. A basic requisite for best production is the seed. Sorting or grading of agricultural products influenced by computer varies product wise and even product variety wise which changes region wise. Grading for new varieties released by the agricultural scientist is the major concerned as new varieties are produced by crossing existing varieties and for these proven optimized machine learning algorithms may give an adverse result. This book highlights various applications of image processing in agriculture and introduces a machine learning algorithm capable of classifying major 5 wheat cultivars (TRITICUM – DURUM: GDW 1255 (released in 2013 by ICAR) & TRITICUM – AESTVIUM: GW 273, GW 322, GW 496 & LOK 1) cultivated in Gujarat region. Experimental data consist of 11 traits comprised of shape, color & morphological characteristics. After applying feature selection algorithm,5 traits were considered & LM backpropagation was used to classify above wheat cultivars which ensued to more than 90.0% accuracy.

Über diesen Titel

Über die Autorin bzw. den Autor

Mayur Raj(Assistant Professor in Computer Science)Department of Agricultural Information Technology, CAIT, Anand Agricultural University, Anand, Gujarat, India. My favorite research areas are Machine Learning, Deep Learning, Remote sensing & GIS. This research is the first step towards it.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 6139950961
• ISBN 13: 9786139950966
• Einband: Taschenbuch
• Anzahl der Seiten: 132
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Alphascript Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland