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Weed Identification in Sugarcane Plantation Through Images Taken from Remotely Piloted Aircraft (RPA) and kNN Classifier

机译：通过从远程驾驶飞机（RPA）和KNN分类器中拍摄的图像培养甘蔗种植园鉴定

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Inacio Henrique Yano;
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年度 2017
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1. Weed Identification in Sugarcane Plantation Through Images Taken from Remotely Piloted Aircraft (RPA) and kNN Classifier [J] . Inacio Henrique Yano, Nelson Felipe Oliveros Mesa, Wesley Esdras Santiago, Journal of Food and Nutrition Sciences . 2017,第6期

机译：通过从远程驾驶飞机（RPA）和kNN分类器获取的图像识别甘蔗种植园中的杂草
2. PV system defects identification using Remotely Piloted Aircraft (RPA) based infrared (IR) imaging: A review [J] . Rahaman Sheikh Aminur, Urmee Tania, Parlevliet David A. Solar Energy . 2020,第Auga期

机译：光伏系统使用基于远程驾驶飞机（RPA）的红外线（IR）成像：审查
3. CHOOSING CLASSIFIER FOR WEED IDENTIFICATION IN SUGARCANE FIELDS THROUGH IMAGES TAKEN BY UAV [J] . INACIO HENRIQUE YANO, WESLEY ESDRAS SANTIAGO, JOSE RICARDO ALVES, Bulgarian Journal of Agricultural Science . 2017,第3期

机译：通过UAV拍摄的图像选择甘蔗领域的杂草识别分类器
4. COMPACT HYPERSPECTRAL IMAGING SYSTEM (COSI) FOR SMALL REMOTELY PILOTED AIRCRAFT SYSTEMS (RPAS) - SYSTEM OVERVIEW AND FIRST PERFORMANCE EVALUATION RESULTS [C] . A. A. Sima, P. Baeck, D. Nuyts, ISPRS Congress . 2016

机译：小型远程飞行飞行器系统（RPA）的紧凑型高光谱成像系统（RPA） - 系统概述和第一绩效评估结果
5. Posttraumatic stress syndrome in remotely piloted aircraft (RPA) pilots and the intelligence, surveillance and reconnaissance (ISR) community: Policy analysis and recommendations for action. [D] . Watkins-Nance, Stefanie Melissa. 2015

机译：遥控飞机（RPA）飞行员和情报，监视与侦察（ISR）社区的创伤后压力综合症：政策分析和行动建议。
6. Remotely Piloted Aircraft System (RPAS)-Based Wildlife Detection: A Review and Case Studies in Maritime Antarctica [O] . Chang-Uk Hyun, Mijin Park, Won Young Lee 2020

机译：远程驾驶飞机系统（RPA）基础的野生动物检测：海事南极洲的审查和案例研究
7. COMPACT HYPERSPECTRAL IMAGING SYSTEM (COSI) FOR SMALL REMOTELY PILOTED AIRCRAFT SYSTEMS (RPAS) – SYSTEM OVERVIEW AND FIRST PERFORMANCE EVALUATION RESULTS [O] . A. A. Sima, P. Baeck, D. Nuyts, 2016

机译：用于小型远程飞行器系统（Rpas）的紧凑型高光谱成像系统（COsI） - 系统概述和第一次性能评估结果

Weed Identification in Sugarcane Plantation Through Images Taken from Remotely Piloted Aircraft (RPA) and kNN Classifier

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