Key Themes:
Advanced machine learning techniques for pest control and disease identification
Automated recognition and classification of plant diseases, focusing on tomatoes and pearl millet
Integration of artificial intelligence for solar-powered robots to identify weeds and damages in vegetables
Development of field prevention systems to deter wild animals in farming areas
Utilization of machine learning for weather forecasting to facilitate smart agriculture practices
Intelligent crop planning and precision farming through AI applications
Integration of artificial intelligence and drones to enhance efficiency and effectiveness in smart farming operations
Other features of the book include a list of references and simple summaries in each chapter to distil the information for readers. The book is a primary reference material for courses on automation in agriculture. It can also serve as a handbook for anyone interested in advances in farming.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.