AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0

Bibliografske podrobnosti

izdano v:	arXiv.org (Dec 16, 2024), p. n/a
Glavni avtor:	Turgut, Ozlem
Drugi avtorji:	Kok, Ibrahim, Ozdemir, Suat
Izdano:	Cornell University Library, arXiv.org
Teme:	Soil lime Arable land Recommender systems Internet of Things Agriculture Artificial intelligence Machine learning Explainable artificial intelligence Natural resources Edge computing Soil conditions
Online dostop:	Citation/Abstract Full text outside of ProQuest
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