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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	März 2023
Genre:	Naturwissensch., Medizin, Technik
	Agrarwissenschaften / ApplicationsofAgriculturalRobotsandDrones / Bildverarbeitung / Computervision / DiseaseDetection / MachineLearningandDeepLearningToolsandTechniques / Maschinelles Lernen / PlantRecognition / Precisionagriculture / ProductionYield,ProductQualityandDefectAssessment mehr...
ISBN:	9789811699931
EAN-Code:	9789811699931
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 16 mm
Gewicht:	423 gr
Seiten:	276
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book is as an extension of previous book ¿Computer Vision and Machine Learning in Agriculture¿ for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.