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农业信息成像感知与深度学习应用研究进展 被引量:77
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作者 孙红 李松 +3 位作者 李民赞 刘豪杰 乔浪 张瑶 《农业机械学报》 EI CAS CSCD 北大核心 2020年第5期1-17,共17页
农业信息感知与准确的数据分析是智慧农业定量决策与管理服务的基础。现代农业中彩色、可见光近红外光谱、3D与热红外等多源和多维度的成像感知手段提供了丰富的数据源,传统研究中围绕颜色、形态、纹理、反射光谱等特征展开分析,由于样... 农业信息感知与准确的数据分析是智慧农业定量决策与管理服务的基础。现代农业中彩色、可见光近红外光谱、3D与热红外等多源和多维度的成像感知手段提供了丰富的数据源,传统研究中围绕颜色、形态、纹理、反射光谱等特征展开分析,由于样本量和特征抽象层级的局限性,对复杂背景变化及未知样本检测时,还存在噪声抑制鲁棒性不足、识别与检测模型精度不高等问题。深度学习(Deep learning,DL)是机器学习的分支之一,结合神经网络通过组合底层特征形成抽象的高层表示属性类别或特征,以发现数据的分布式特征与属性,在图像目标识别与检测中其模型检测精度与泛化能力比传统方法均有所提升。因而,DL技术在农业信息检测中的应用日益增多。为了深入分析应用DL技术驱动智慧农业继续发展的潜力和方向,本文从农业信息成像感知的数据源与DL技术应用相结合的角度出发,分别以植物识别与检测、病虫害诊断与识别、遥感区域分类与监测、果实在体检测与产品分级、动物识别与姿态检测5个研究方向总结概括DL在农业信息检测中最新的应用研究成果,展望需要加强的方面,以提升对应用DL开展农业信息检测过程的理解,促进农业信息感知技术的发展。 展开更多
关键词 成像感知 深度学习 农业数据集 卷积神经网络 农业检测
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Agricultural water-saving potential and feasibility of developing semi-dryland farming in Henan Province
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作者 Huang Xiuqiao Wang Jinglei 《Engineering Sciences》 EI 2013年第5期61-69,共9页
Based on the collected data in the current status of developing and utilizing water resources and imple- menting water-saving agriculture in Henan Province, and taking into account the influence of engineering, agro- ... Based on the collected data in the current status of developing and utilizing water resources and imple- menting water-saving agriculture in Henan Province, and taking into account the influence of engineering, agro- nomic and management measures, the water-saving potential in past years and the feasibility of implementing semi-dryland farming were analyzed in Henan Province. Finally, specific technical measures of developing semi- drvland farming in different areas of Henan Province were orooosed. 展开更多
关键词 water-saving potential semi-dryland farming Henan Province
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Farmers' Evaluation of NERICA Rice Varieties and Adoption Determinants in Nigeria
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作者 Diran Olawale Awotide 《Journal of Agricultural Science and Technology(B)》 2015年第1期24-33,共10页
Farmers' evaluation and analysis of the factors determining the adoption of improved farm technology are essential to elicit what varietals characteristics motivate farmers to adopt or reject improved varieties and t... Farmers' evaluation and analysis of the factors determining the adoption of improved farm technology are essential to elicit what varietals characteristics motivate farmers to adopt or reject improved varieties and the technology. The main objective of the study was to elicit farmers' criteria for selecting rice varieties and the factors determining adoption of NERICA varieties in the study areas. The data used for this study were collected from 600 farmers in Ekiti, Kaduna, Nassarawa, Ogun, Ondo, and Taraba States of Nigeria through farming household survey conducted from August to September 2009. The main instruments for data collection were well-structured questionnaires administered in each state. This study utilized descriptive statistics, such as means, frequency and percentages; and Tobit regression model were used to analyze the data collected. The results revealed that field days attendance was very low in the study areas and was similar across states; and this may limit their participation in exchange of ideas and in sharing of knowledge and experience of improved technology. The small farm size and subsequently low output could adversely affect rice production in the country and thus prevent the country from attaining self-sufficiency in rice production. Farmers grow an assortment of both local and improved rice varieties and the most important criteria across the states were high yield, tillering and logging resistance. There was progressive increase in the proportion of land given to NERICA rice cultivation since 2004. This suggests that there is increase in the adoption rate of NERICA varieties across states. Level of formal education, farm size, access to credit, rice income, farm income and level of awareness of NERICA varieties positively and significantly determined NERICA rice adoption. Base on these, we recommend that government should aim at policies geared towards providing incentives to encourage all stakeholders to improve productivity in rice production. Incentives, such as provision of micro credit and implementation of subsidy on inputs like fertilizer and seed, would go a long way in boosting rice production in the study area. 展开更多
关键词 ADOPTION EVALUATION NERICA rice varieties Nigeria.
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Adding Value to Applied Policy Models: The Case of the WTO and OECD Support Classification Systems
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作者 Mittenzwei Klaus Timothy E. Josling 《Journal of Modern Accounting and Auditing》 2014年第4期460-478,共19页
Both the OECD and the WTO have accumulated systematic data on the magnitude of support going to farmers as a result of farm policies. The datasets are collected for different purposes, but both give a detailed picture... Both the OECD and the WTO have accumulated systematic data on the magnitude of support going to farmers as a result of farm policies. The datasets are collected for different purposes, but both give a detailed picture of the evolution of these policies. This paper extends recent work on the compatibility or otherwise of the two attempts at policy monitoring by considering the categorization of individual policy instruments in Norway, Switzerland, the US, and the EU. The results show how the OECD dataset, particularly with respect to the link between direct payments and production requirements, complements that of the WTO. Many payments classified in the WTO Green Box require production, raising the possibility that they may distort production and trade. Though the issue of correct notifications to the WTO is the province of lawyers, the implications for modeling and policy analysis are of interest to economists, and the broader question of improving the consistency of the two datasets is of importance in the quest for transparency in the interpretation of changes in farm policies. 展开更多
关键词 policy analysis WTO notifications Producer Support Estimate (PSE) calculations farm policy reform
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