This book is as an extension of the previous two volumes on ¿Computer Vision and Machine Learning in Agriculture¿. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
| Serija: | Algorithms for Intelligent Systems |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 228 |
| ISBN-10: | 9819937531 |
| ISBN-13: | 9789819937530 |
| Formatas: | Knyga kietu viršeliu |
| Kalba: | Anglų |
| Žanras: | Automatic control engineering |
Parašykite atsiliepimą apie „Computer Vision and Machine Learning in Agriculture, Volume 3“
