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A combined statistical-soft computing approach for classification and mapping weed species in minimum -tillage systems

机译：最小耕作系统中杂草种类分类和测绘的组合统计软件计算方法

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作者
Camargo Neto, Joao;
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作者单位

The University of Nebraska - Lincoln;

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授予单位 The University of Nebraska - Lincoln;
学科
学位 Ph.D.
年度 2004
页码 170 p.
总页数 170
原文格式 PDF
正文语种 eng
中图分类
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专利

1. Seedling recruitment pattern and depth of recruitment of 10 weed species in minimum tillage and no-till seeding systems. [J] . Chauhan B S, Gill G, Preston C Weed Science: Journal of the Weed Science Society of America . 2006,第4期

机译：在最少的耕作和免耕播种系统中，10种杂草的苗种募集模式和募集深度。
2. Effects of tillage systems and crop rotation on weed density, weed species composition and weed biomass in maize [J] . E. Demjanova, M. Macak, I. Balovic, Agronomy Research . 2009,第2期

机译：耕作制度和轮作对玉米杂草密度，杂草种类组成和杂草生物量的影响
3. Crop and weed responses to residue retention and method of weeding in first two years of a hoe-based minimum tillage system in semi-arid Zimbabwe [J] . Nester Mashingaidze, Stephen J Twomlow, Lewis Hove Journal of SAT Agricultural Research . 2009,第1期

机译：半干旱津巴布韦基于头的最小耕作制度的前两年对作物和杂草对残留物保留的响应和除草方法
4. Development of a Robust Weed Species Mapping System using Hyperspectral Imaging for Precision Weed Control in Processing Tomato [C] . Y. Zhang, D.C Slaughter Annual International Meeting of the American Society of Agricultural and Biological Engineers . 2010

机译：在加工番茄中进行高光谱成像的强大杂草映射系统的开发
5. Combining Cover Crops, Strip Tillage, and Novel Mulches to Manage Weeds in Vegetable Cropping Systems [D] . Puka-Beals, Jesse Jor-El. 2020

机译：结合封面作物，剥离耕作和新型覆盖物来管理蔬菜种植系统中的杂草
6. Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields [O] . Mojtaba Dadashzadeh, Yousef Abbaspour-Gilandeh, Tarahom Mesri-Gundoshmian, 2020

机译：使用自动立体计算机视觉机器学习系统在稻田中进行特定地点杂草管理的杂草分类
7. An image analysis and classification system for automatic weed species identification in different crops for precision weed management [O] . Weis Martin 2010

机译：用于精确控制杂草的不同作物中杂草种类自动识别的图像分析和分类系统

A combined statistical-soft computing approach for classification and mapping weed species in minimum -tillage systems

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