A MICRO-SCALE APPROACH FOR CROPLAND SUITABILITY ASSESSMENT OF PERMANENT CROPS USING MACHINE LEARNING AND A LOW-COST UAV

A Micro-Scale Approach for Cropland Suitability Assessment of Permanent Crops Using Machine Learning and a Low-Cost UAV

This study presents a micro-scale approach for the cropland suitability assessment of permanent crops based on a low-cost unmanned aerial vehicle (UAV) equipped with a commercially available RGB sensor.The study area was divided into two subsets, with subsets A and B containing tangerine plantations planted during years 2000 and 2008, respectively.

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Quantum Embedding Search for Quantum Machine Learning

This paper introduces an automated search algorithm (QES, pronounced as “quest”), which derives optimal design of entangling layout for supervised quantum machine learning.First, we establish the connection between the structures of entanglement using CNOT gates and the representations of directed multi-graphs, enabling a well-defined

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