The circular economy of agro and post-consumer residues as raw materials for sustainable ceramics

The circular economy in the area of waste management implies their re-use as a raw material in different production cycles. Both the qualitative and quantitative characteristics of the residues from the agro sector and those of the products of the ceramics sector make possible to think of a feasible application. This review will illustrate some examples of recycling of residues deriving from animal and vegetable sectors (and two post consume products, spent coffee grounds, and packaging glass cullet), studied by the authors, falling within the concept of urban and agricultural sustainable development. Not only the most traditional products such as glass-ceramics, glazes, bricks, but also the most innovative lightweight aggregates for plant structures or in and out soil cultivation, as well as additives such as deflocculants for ceramic suspensions, which will be illustrated from the design/production, characterization, and comparison with commercial products.     

Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

Agricultural robots rely on semantic segmentation for distinguishing between crops and weeds to perform selective treatments and increase yield and crop health while reducing the amount of chemicals used. Deep‐learning approaches have recently achieved both excellent classification performance and real‐time execution. However, these techniques also rely on a large amount of training data, requiring a substantial labeling effort, both of which are scarce in precision agriculture. Additional design efforts are required to achieve commercially viable performance levels under varying environmental conditions and crop growth stages. In this paper, we explore the role of knowledge transfer between deep‐learning‐based classifiers for different crop types, with the goal of reducing the retraining time and labeling efforts required for a new crop. We examine the classification performance on three datasets with different crop types and containing a variety of weeds and compare the performance and retraining efforts required when using data labeled at pixel level with partially labeled data obtained through a less time‐consuming procedure of annotating the segmentation output. We show that transfer learning between different crop types is possible and reduces training times for up to 80%. Furthermore, we show that even when the data used for retraining are imperfectly annotated, the classification performance is within 2% of that of networks trained with laboriously annotated pixel‐precision data.     

国内农用拖拉机自动转向系统研究现状

作为精准农业的重要组成部分,农用拖拉机自动转向系统的研究也越来越多。通过对相关文献进行梳理和分析,分别从自动转向系统的两个组成部分(自动转向执行机构和自动转向控制系统)阐述国内农用拖拉机自动转向系统的研究成果,为设计合理的自动转向执行机构和稳定准确的自动转向控制系统提供建议和参考。     

浅谈农业科研档案管理存在的问题及建议

基于当前农业科研档案管理的概况,其中存在着一些问题和不足。通过分析这些问题,进而提出针对性的解决对策和建议,进一步提高农业科研档案管理效率,为各项工作开展提供更好的保障。     

生鲜农产品冷链管理及关键技术研究进展

冷链已经成为世界各国提高生鲜农产品流通条件、食品质量安全、农产品附加值及促进农产品走向国际市场的重要保障。与世界发达国家相比,中国的生鲜农产品冷链在技术、整体设备拥有量和系统管理水平等方面均存在一定的差距。在对国内外冷链管理研究进行梳理的基础上,对冷链管理中的几类主要问题:库存、物流系统规划、质量安全、协调机制及关键技术等进行综述和比较分析,最后从生鲜农产品冷链碳排放、消费者行为倾向、闭环供应链等方面探讨中国未来生鲜农产品冷链的发展趋势。     

Operational scheduling of responsive prosumer farms for day‐ahead peak shaving by agricultural demand response aggregators

This paper proposes a novel structure to optimize the operational strategies of responsive farms for day‐ahead peak shaving. To achieve the aim, the modern irrigation system of farms, including groundwater, surface water, and booster water pumps, are modeled mathematically. To develop the demand response (DR) potentials of the farms, electrical storage systems, and self‐generation facilities, including thermal distributed generations and on‐farm solar sites, are addressed. In order to facilitate the integration of the agricultural DR programs into the electricity market, a mathematical formulation for agricultural demand response aggregator (ADRA) is suggested. The ADRA participates in the day‐ahead electricity market on behalf of the responsive farms. To overcome the price uncertainty of the electricity market, a robust optimization approach is addressed. This approach determines the robust decisions of farms in the worst‐case realizations of the uncertain electricity price. Regarding on‐farm solar sites located in rural areas, a data‐driven approach is used to estimate the solar power generation of a significant number of sites without needing to install costly communication and measurement infrastructures. Finally, the proposed approach is implemented on agricultural lands in the northeast of Iran. The numerical results show that the suggested approach provides day‐ahead peak shaving for the power systems meeting the crop's water requirements.     

对基层农技推广队伍建设的思考

通过对全县基层农技推广队伍的调整,分析了基层农技推广队伍的现状并找出现有的问题,进而有针对性地提出解决问题的办法。     

浅谈农机报废更新工作开展的必要性

老旧农机具能耗高,尾气排放量大,对环境污染严重,在一定程度上影响了机具的规范使用和管理。文章对提升农机化发展水平,迫切需要开展农机报废更新工作指出其必要性,并提出了相关具体工作措施。     

食物成瘾的研究进展及启示

食物成瘾是一种复杂的慢性疾病，导致人们在日常生活中对某种食物产生过度依赖与过度进食等相关行为特征，近年来已被认为是影响欧美发达国家肥胖症、暴食症、糖尿病等发病率持续升高的关键原因，引起学术界的极大关注，成为研究热点。本文主要介绍食物成瘾的概念、诊断标准，综述了食物成瘾的病理机制、影响因素和应对措施等方面的研究进展，并探讨食物成瘾对我国食品界的启示，为预防食物成瘾，保障公众健康提供有益借鉴。