基于PDM犁的智能CAD设计系统

讨论基于产品数据管理(PDM)犁的智能CAD设计系统基本框架及其3个组成部分：设计专家系统、产品数据管理和犁的计算机辅助设计。研究了各部分的功能和技术实现，设计专家系统用于犁的参数化设计过程中参数的选择和装配图装配合理性的判断，PDM主要管理犁的辅助设计相关的数据和文件以及专家系统知识。在此基础上，介绍了集成专家系统和产品数据管理犁的计算机辅助设计软件开发。     

Past, present and future criteria to breed crops for water-limited environments in West Africa

Asia's Green Revolution of the 1960s and 1970s has largely bypassed West Africa, and “modern” (high-yielding, input responsive) germplasm for staple crops has found comparatively little adoption, except for systems that are have good access to markets and sufficient water resources. It is unlikely, however, that breeding objectives conserving traditional crop characteristics as found in extensive systems would have been more successful. The authors identify systems caught in the agricultural transition from subsistence to intensified, market-oriented production as the most important target for crop improvement, and provide examples of new breeding objectives for cowpea, sorghum and upland rice. In each of these cases, breeders, with the help of physiologists, have developed innovative plant-type concepts that combine improved yield potential and input responsiveness with specific traditional crop characteristics that remain essential during the agricultural transition. In the case of cowpea, dual-purpose varieties were developed that produce a good grain yield due to an erect plant habit, then produce new leaves enabling a second harvest of green foliage. For upland rice systems that are limited by labour (mainly needed to control weeds that abound due to shortened fallow periods), a weed competitive plant type was developed from Oryza sativa × Oryza glaberrima crosses. Lastly, sorghum breeders who had previously deselected photoperiod sensitivity are now re-inserting sensitivity into plants having “modern” architecture, in order to allow for flexible sowing dates while maintaining an agro-ecologically optimal time of flowering near the end of the wet season. The ecophysiological basis of these plant types, their place in current and future cropping systems, as well as the problem of under-funding for their realisation, are discussed.     

Evaluation of the RZWQM-CERES-Maize hybrid model for maize production

The root zone water quality model (RZWQM) was developed primarily for water quality research with a generic plant growth module primarily serving as a sink for plant nitrogen and water uptake. In this study, we coupled the CERES-Maize Version 3.5 crop growth model with RZWQM to provide RZWQM users with the option for selecting a more comprehensive plant growth model. In the hybrid model, RZWQM supplied CERES with daily soil water and nitrogen contents, soil temperature, and potential evapotranspiration, in addition to daily weather data. CERES-Maize supplied RZWQM with daily water and nitrogen uptake, and other plant growth variables (e.g., root distribution and leaf area index). The RZWQM-CERES hybrid model was evaluated with two well-documented experimental datasets distributed with DSSAT (Decision Support System for Agrotechnology Transfer) Version 3.5, which had various nitrogen and irrigation treatments. Simulation results were compared to the original DSSAT-CERES-Maize model. Both models used the same plant cultivar coefficients and the same soil parameters as distributed with DSSAT Version 3.5. The hybrid model provided similar maize prediction in terms of yield, biomass and leaf area index, as the DSSAT-CERES model when the same soil and crop parameters were used. No overall differences were found between the two models based on the paired t test, suggesting successful coupling of the two models. The hybrid model offers RZWQM users access to a rigorous new plant growth model and provides CERES-Maize users with a tool to address soil and water quality issues under different cropping systems.     

基于迁移学习的无人机影像耕地信息提取方法

随着精准农业技术的发展,对农作物用地信息快速、准确提取的需求越来越高。同时,无人机技术以其方便、高效、具有低空云下飞行能力等优势被广泛应用于自然资源的调查中。但无人机影像普遍光谱信息较为匮乏,因此很难准确、快速地提取出耕地信息。基于此,提出了一种利用迁移学习机制的耕地提取方法(TLCLE)。首先,利用深度卷积神经网络(DCNN)剔除线状地物(道路、田埂等),然后,通过引入迁移学习机制将DCNN特征训练过程中得到的特征提取方法迁移到耕地提取中,最后,将所提方法与利用易康(e Cognition)软件进行耕地提取(ECLE)结果进行对比。研究结果表明:对于实验影像1、2,TLCLE方法耕地提取总体精度分别为91.9%、88.1%,ECLE方法总体精度分别为90.3%、88.3%,2种方法提取精度相当,在保证耕地地块完整、连续性上TLCLE方法优于ECLE方法。     

高原环境对拖拉机、农用运输车安全性能的影响及对策

着重从青藏高原的地理、气候、道路等环境特点,分析高原环境对拖拉机、农用运输车安全生产影响的因素,提出预防措施,以确保安全生产。     

Agricultural practice changes with cultivating genetically modified herbicide-tolerant oilseed rape

To facilitate weed suppression, oilseed rape or canola (Brassica napus) has been genetically modified (GM) over the last two decades to incorporate herbicide tolerance (HT). The introduction of oilseed rape in commercial agriculture raises concerns about potential adverse agronomic and environmental effects linked to both the genetic modification and altered agricultural practice. How will this new crop modify the existing cropping practice? What are the potential agro-environmental implications of its introduction? This paper analyses and schematises recorded and conceivable agricultural practice changes with GMHT oilseed rape introduction and its likely agro-environmental effects. It develops a conceptual systematics of influencing factors, subsequent practice changes and likely agro-environmental effects. The results can be used to design the mandatory monitoring of adverse GM crop effects.     

我国欠发达地区农业保险问题探究

我国农业保险在1982年恢复以来一直都处于低潮期,高风险、高赔付率在迫使农险业务逐步萎缩,本文分析了我国欠发达地区农业保险存在的问题,提出了相应的对策。     

强化农机培训,造就新"能民"

建设社会主义新农村,农民是主人、是主力军。新农村建设的宏伟目标能否实现,从根本上讲,取决于农民的思想观念和科技文化素质。强化对农民的培训,是提高农民综合素质的关键,也是全面推进社会主义新农村建设的需要;既是县级农机学校的发展出路,也是加快培养新农村建设人才的重要措施。     

基于VI技术的农用动平衡机测量系统

采用虚拟仪器（VI）技术设计了农用旋转机械动同测量系统，探讨了硬件和软件设计的核心技术，解决了现场可调和模块化设计、数据库管理及高速实时处理等综合问题，给出了农用碟片式胶乳分离机整机动平衡实验过程和结果。     

农业机器人移动平台的研究现状与发展趋势

简要介绍了农业机器人在农业信息化智能化中的重要地位以及机器人移动机构的类型,综述了当今农业机器人移动平台的研究现状,展望了今后这一领域的发展趋势。