📄 agriculture

From Nanostructures to Nutrient Precision: Comparative Efficacy of HNF, ZNF, and CNF in Boosting Rice Growth, Biochemical Resilience, and Grain Quality

本研究表明,在三种合成的组合纳米肥料(HNF、ZNF 和 CNF)中,基于沸石的配方(ZNF)表现出优异的理化性质,并且与其它处理及对照组相比,能最有效地增强水稻的生长、生化抗性和籽粒品质。

Rahul Gogoi, Bhoirob Gogoi, Samim Dullah, Pranjal Kumar Kaman, Kulendra Nath Das, Robin Chandra Boro, Madhumita Barooah2026-07-29
📄 agriculture

Comparative acaricidal and sublethal effects of diatomaceous earth and Ocimum basilicum essential oil against the citrus brown mite, Eutetranychus orientalis (Klein), under laboratory and semi-field conditions

本研究表明,硅藻土和罗勒(*Ocimum basilicum*)精油都是防治柑橘褐螨(*Eutetranychus orientalis*)的有效且环保的合成杀螨剂替代品,其中硅藻土在实验室环境下表现出更优越的毒性和生殖抑制作用,而两种药剂在半田间条件下均实现了相当的种群削减效果。

Rania Hassan Mahmoud2026-07-29
📄 agriculture

Fruit morphometric diversity, oil content, and fatty acid composition of Acrocomia aculeata (Jacq.) Lodd. ex Mart. across eight sites in Costa Rica

本研究揭示了哥斯达黎加八个采样点中,刺棕榈(*Acrocomia aculeata*)在果实形态测量学、含油量及脂肪酸组成方面的显著表型与生化多样性,并强调了中果皮与果仁组织之间截然不同的油脂分配模式,这为种质筛选和育种计划提供了宝贵的依据。

Ariadna Gutiérrez-Fajardo, Emanuel Araya-Valverde, Nelson Zamora, Pamela Sevilla-Cortés, Juan Ignacio Garro-Rodríguez, C (…)2026-07-29
📄 agriculture

Occurrence, Soil-to-Plant Transfer and Dietary Risk Assessment of Potentially Toxic Elements in Green Leafy Vegetables Irrigated with Untreated Slaughterhouse Wastewater in Rufiji District, Tanzania

这项研究表明,尽管坦桑尼亚鲁菲吉地区使用未经处理的屠宰场废水灌溉的绿叶蔬菜中所含金属浓度低于国际指南标准,但多种元素的累积暴露对消费者构成了显著的非致癌健康风险,凸显了对废水处理和改进农业管理实践的紧迫需求。

Josephat A. Saria, Ahmada M. Ibrahim2026-07-29
📄 agriculture

Effect of Nano Urea, GA 3, Boron and Calcium on Growth, Yield, and Quality of Strawberry (Fragaria × ananassa Duch.) cv. Winter Dawn

一项针对草莓品种‘Winter Dawn’的田间试验表明,虽然通过叶面喷施赤霉素(GA3)、硼和硝酸钙的组合应用能使营养生长、产量和经济回报达到最大化,但纳米尿素、硼和硝酸钙的组合在增强总可溶性固形物(TSS)、抗坏血酸和总糖等果实品质参数方面最为有效。

Ankita Yadav, Lavkush Pandey, Ratnalika Maurya, Adarsh Tiwari, Divya Singh, Anant Tiwari, Prashant Singh, K. K. Shukla2026-07-29
📄 agriculture

ResMDCL-PDM: An IoT-Enabled Multi-Task Deep Learning Framework for Precision Pest and Disease Management in Maize and Rice Production

本研究提出了 ResMDCL-PDM,一种基于物联网的多任务深度学习框架,该框架将环境感知与改进的 ResNet-50 架构相结合,在同时识别作物种类、对病虫害类别进行分类以及评估玉米和水稻生产中的感染严重程度方面达到了 97.8% 的准确率。

Wakilah Tobun-Badru, Adesina Simeon Sodiya, Adebayo Abayomi-Alli, Clement Gboyega Afolabi2026-07-28