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Heat Transfer Analysis And Packaging Optimization Design Of Self-Heating Rice, Sun Haowen, Li Huan, Wu Xiaomeng, Mao Like 2026 College of Food Science and Nutritional Engineering , China Agricultural University , Beijing 100083 , China

Heat Transfer Analysis And Packaging Optimization Design Of Self-Heating Rice, Sun Haowen, Li Huan, Wu Xiaomeng, Mao Like

Food and Machinery

[Objective] To further understand the influence of the heat transfer process on the quality of self-heating foods and improve the heating rate of existing self-heating rice products. [Methods] A combination of virtual simulation and experimental methods was used to analyze the actual temperature variations during the heating process of self-heating rice and the effects of heat transfer on rice texture. A three-dimensional heat transfer model of self-heating rice was established using COMSOL software to investigate the heat transfer process, and the packaging design of self-heating rice was optimized with the objective of maximizing the heating rate. [Results] After reheating and …


Innovative Application Of Intangible Cultural Heritage Narrative Design In Agricultural Food Packaging, Chen Yanan, Chen Bingyan 2026 School of Arts and Design , Henan Institute of Science and Technology , Xinxiang , Henan 453003 , China

Innovative Application Of Intangible Cultural Heritage Narrative Design In Agricultural Food Packaging, Chen Yanan, Chen Bingyan

Food and Machinery

cultural distinctiveness in current agricultural food packaging, this study puts forward an innovative approach to promote the upgrade of agricultural food packaging from functional consumption to cultural consumption through intangible cultural heritage (ICH) narrative design. In terms of methodology, the value of ICH narrative in food packaging is first analyzed, followed by the proposal of a design pathway encompassing three aspects: ICH content selection and story construction, narrative graphic and layout design, and material and process selection, with interactive experience being strengthened by integrating technologies such as the Internet of Things (IoT) and augmented reality (AR). In terms of application …


2025 Soybean Invertebrate Losses In The United States, Fred R. Musser, Sebe A. Brown, Tim Bryant, Whitney D. Crow, Jeffrey A. Davis, Christina DiFonzo, Ashleigh M. Faris, Chase Floyd, Scott H. Graham, Jeremy K. Greene, Kelly A. Hamby, David Kerns, Janet Knodel, David Owens, Dominic D. Reisig, Phillip M. Roberts, Nicholas J. Seiter, Adam J. Sisson, Benjamin C. Thrash, Kelley J. Tilmon, Adam J. Varenhorst 2026 Mississippi State University

2025 Soybean Invertebrate Losses In The United States, Fred R. Musser, Sebe A. Brown, Tim Bryant, Whitney D. Crow, Jeffrey A. Davis, Christina Difonzo, Ashleigh M. Faris, Chase Floyd, Scott H. Graham, Jeremy K. Greene, Kelly A. Hamby, David Kerns, Janet Knodel, David Owens, Dominic D. Reisig, Phillip M. Roberts, Nicholas J. Seiter, Adam J. Sisson, Benjamin C. Thrash, Kelley J. Tilmon, Adam J. Varenhorst

Midsouth Entomologist

Estimated management costs and losses due to insects and other invertebrates in soybeans during the 2025 growing season were collected and compiled from 20 states to provide a record of insect pressure and management practices for the year. These annual estimates provide a historical record of pest pressure and insect management and have been compiled in some states since 2004. Participating states accounted for 68% of soybean acreage in the United States, with near 100% participation in the southern states. As has been true in previous years, the stink bug complex was the costliest insect pest in soybean followed by …


Towards 2035: Future Forms And Strategic Path Of Chinese Agriculture, LIU Tao, Zeyu YANG, Zhaohui DONG 2026 Department of Research Management, Chinese Academy of Agricultural Sciences, Beijing 100081, China

Towards 2035: Future Forms And Strategic Path Of Chinese Agriculture, Liu Tao, Zeyu Yang, Zhaohui Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Agricultural modernization is an integral component of the national modernization. Toward 2035, China’s agricultural system confronts multiple challenges, including increasing resource and environmental pressures, rapid upgrading of residents’ consumption structure, and in-depth adjustments in the international supply chain pattern. Meanwhile, it also embraces a series of opportunities brought by transformations in agricultural production technologies and models driven by artificial intelligence, biotechnology, and engineering technology. Based on the perspective of national medium and long-term development strategy, this study sorts out the internal constraints, external opportunities, and development drivers faced by China’s agriculture. It explores six major strategic trends—ecological, intelligent, customized, facility-based, …


Kinds Of Evidence Cited By Councilors In Municipal Council Sessions: The Case Of Santa Fe, Cebu, Philippines, Junald D. Ango 2026 Political Science and Public Affairs Programs, College of Social Sciences, University of the Philippines Cebu, Cebu City, Philippines

Kinds Of Evidence Cited By Councilors In Municipal Council Sessions: The Case Of Santa Fe, Cebu, Philippines, Junald D. Ango

Journal of Public Affairs and Development

This paper explores the practice of evidence-based policymaking (EBPM) in the municipal council of Santa Fe, Cebu, Philippines. Data for this study is based on a content analysis of the minutes of council sessions and committee meetings from July 2022 to August 2024. The use of evidence in policymaking has caught on among policymakers in the Philippines, at both the national and local levels. However, few studies have examined policymakers' use of evidence in municipal governments, especially those in smaller, less urbanized towns. In the case of the Municipality of Santa Fe, at least 13 kinds of evidence were cited …


Nitrogen Management Strategies For Specialty Tea Production In Louisiana: Rate, Source Type, And Nutrient Dynamics, Autumn D. Hilderbrand 2026 Lousiana State University and Agricultural and Mechanical College

Nitrogen Management Strategies For Specialty Tea Production In Louisiana: Rate, Source Type, And Nutrient Dynamics, Autumn D. Hilderbrand

LSU Master's Theses

Tea (Camellia sinensis L.) is an emerging specialty crop in Louisiana and the southeastern United States; however, region-specific nitrogen (N) management recommendations remain limited. This research evaluated N fertilizer source, application rate, and nutrient leaching to identify management strategies that improve nitrogen use efficiency (NUE) and environmental sustainability during tea establishment.

Three complementary studies evaluated N source replacement, application rate, and fertilizer source effects on nutrient retention and movement. The first study evaluated the replacement of urea ammonium sulfate (UAS) with blood meal (BM) while maintaining a constant annual N application rate. Fertilizer replacement did not significantly affect leaf …


From Insight To Impact: Segmenting Consumers By Their Regenerative Agriculture Priorities, Lourival Carmo Monaco Neto, Gustavo Stevanin de Souza, Owen Jerome Zakrzewski, Allan Wayne Gray 2026 Purdue University

From Insight To Impact: Segmenting Consumers By Their Regenerative Agriculture Priorities, Lourival Carmo Monaco Neto, Gustavo Stevanin De Souza, Owen Jerome Zakrzewski, Allan Wayne Gray

Department of Agricultural Economics Faculty Publications

Regenerative agriculture is gaining traction in agrifood value chains, yet its definitional ambiguity and the heterogeneity of consumer priorities create strategic challenges for commercialization. Firms commonly assume a homogeneous ‘sustainable consumer’ motivated by environmental outcomes, but research on consumer food values suggests that economic attributes often outweigh environmental concerns when trade-offs are required. This study segments U.S. consumers based on how they prioritize seven core attributes of regenerative agriculture: soil health, biodiversity, greenhouse gas emissions, water use, food prices, crop yield, and farmer profitability. Using forced-ranking data from 1231 nationally representative U.S. consumers surveyed in August 2024, we apply a …


Harmful Algal Blooms: Risks For Food In Utah, Jose Brandao, Sarah Erwin, Stephanie Vaughn, Clare Entwistle 2026 Utah State University

Harmful Algal Blooms: Risks For Food In Utah, Jose Brandao, Sarah Erwin, Stephanie Vaughn, Clare Entwistle

All Current Publications

Harmful algal blooms (HABs) are a problem because they can produce toxins that make water unsafe for people, animals, and the environment. In recent years, HABs have emerged as a growing concern in freshwater systems throughout Utah, including irrigation canals, reservoirs, and livestock ponds. HABs in freshwater are caused by cyanobacteria, also called blue-green algae. These microorganisms can release dangerous toxins that can harm swimmers, pets, and the food supply. Unlike foodborne pathogens, these toxins cannot be removed by boiling, cooking, or washing the food. Therefore, regular monitoring is essential to detect HABs early and reduce exposure risks. This fact …


Food Systems Transformation Would Reshape Global Agriculture, Matthew Gibson, Marina Sundiang, Daniel Mason-D’Croz, Thais Diniz Oliveira, Felicitas Beier, Lauren Benavidez-Brouk, Astrid Bos, Maksym Chepeliev, Jonathan Doelman, Shahnila Dunston, Shinichiro Fujimori, Tomoko Hasegawa, Petr Havlik, Jordan Hristov, Jonas Jägermeyr, Marta Kozicka, Marijke Kuiper, Page Kyle, Thijs de Lange, Benjamin Leon Bodirsky, Hermann Lotze-Campen, Hermen Luchtenbelt, David Meng-Chuen Chen, Abhijeet Mishra, Christoph Müller, Gerald Nelson, Amanda Palazzo, Ignacio Perez Dominguez, Alexander Popp, Ronald Sands, Marco Springman, Elke Stehfest, Timothy B. Sulser, Kiyoshi Takahashi, Gianmaria Tassinari, Ferike Thom, Philip Thornton, Kazuaki Tsuchiya, Willem-Jan van Zeist, Hans van Meijl, Dominique van der Mensbrugghe, Detlef Van Vuuren, Hannah H.E. van Zanten, Isabelle Weindl, Keith Wiebe, Xin Zhao, Mario Herrero 2026 Cornell University

Food Systems Transformation Would Reshape Global Agriculture, Matthew Gibson, Marina Sundiang, Daniel Mason-D’Croz, Thais Diniz Oliveira, Felicitas Beier, Lauren Benavidez-Brouk, Astrid Bos, Maksym Chepeliev, Jonathan Doelman, Shahnila Dunston, Shinichiro Fujimori, Tomoko Hasegawa, Petr Havlik, Jordan Hristov, Jonas Jägermeyr, Marta Kozicka, Marijke Kuiper, Page Kyle, Thijs De Lange, Benjamin Leon Bodirsky, Hermann Lotze-Campen, Hermen Luchtenbelt, David Meng-Chuen Chen, Abhijeet Mishra, Christoph Müller, Gerald Nelson, Amanda Palazzo, Ignacio Perez Dominguez, Alexander Popp, Ronald Sands, Marco Springman, Elke Stehfest, Timothy B. Sulser, Kiyoshi Takahashi, Gianmaria Tassinari, Ferike Thom, Philip Thornton, Kazuaki Tsuchiya, Willem-Jan Van Zeist, Hans Van Meijl, Dominique Van Der Mensbrugghe, Detlef Van Vuuren, Hannah H.E. Van Zanten, Isabelle Weindl, Keith Wiebe, Xin Zhao, Mario Herrero

Department of Agricultural Economics Faculty Publications

Food systems are a major contributor to exceeding planetary boundaries1,2,3 and poor quality diets are a key mortality risk globally4. Projected population and income growth could exacerbate these challenges5. In response, there are calls for transformation towards healthy and sustainable food systems6,7,8. However, the scale and distribution of the impacts of this transformation on agriculture are underexplored. Here we show that, by 2050, the transformation of food systems towards healthy diets (adoption of the EAT–Lancet reference diet), improved productivity and halving of food waste results in a fundamental restructuring of global agriculture, aspects of which break with historical trends. Scenario …


Prediction Model Of Green Grape Water Loss Rate Based On Multi-Model Soft Voting Fusion, FAN Gai, JING Min, JI Feng, MA Maosen, YAO Xiaomin 2026 School of Mechanical Engineering , Shaanxi University of Technology , Hanzhong , Shaanxi 723000 , China

Prediction Model Of Green Grape Water Loss Rate Based On Multi-Model Soft Voting Fusion, Fan Gai, Jing Min, Ji Feng, Ma Maosen, Yao Xiaomin

Food and Machinery

[Objective] This study aims to achieve rapid and non-destructive detection of the water loss rate in green grapes, control losses, and ensure quality. Based on an LED-induced fluorescence spectroscopy system, a prediction method combining collected spectral data with a multi-model soft voting fusion approach was proposed for green grape water loss rate estimation. [Methods] Spectral data from 100 green grape samples were collected. Preprocessing was performed using multivariate scatter correction (MSC), standard normal variate transformation (SNV), normalization, and Savitzky–Golay (SG) filtering. Feature wavelength selection was carried out using the successive projections algorithm. Based on this, prediction models for the green …


Effect Of Extraction Methods On Emulsifying Properties Of Corn Fiber Gum, WU Chenglong, REN Ying, LI Xingguo, TANG Leiming, SUN Xiaohong 2026 College of Food Science and Pharmacy , Zhejiang Ocean University , Zhoushan , Zhejiang 316022 , China

Effect Of Extraction Methods On Emulsifying Properties Of Corn Fiber Gum, Wu Chenglong, Ren Ying, Li Xingguo, Tang Leiming, Sun Xiaohong

Food and Machinery

[Objective] To investigate the influence of three extraction methods (alkaline, enzymatic, and acidic) on the emulsification characteristics of corn fiber gum (CFG). [Methods] Corn bran was used as the raw material, and CFG was extracted using sodium hydroxide, xylanase, and formic–acetic acid–water solutions. The changes in particle size, zeta potential, rheological properties, creaming index, appearance, and microstructure of CFG emulsions were measured. [Results] All three CFG emulsions exhibited shear-thinning behavior, with viscosities decreasing as the shear rate increased. The enzymatically extracted CFG emulsion had the highest viscosity, best gel properties, smallest particle size [(751.6 ± 22.5) nm], highest absolute zeta …


Strategy For Linear Range Broadening Of Elisa Based On Antibody Synergistic Combination, GUO Cuili, PENG Juan, LAI Weihua, XING Keyu, GAN Bei 2026 State Key Laboratory of Food Science and Resources , Nanchang University , Nanchang , Jiangxi 330047 , China

Strategy For Linear Range Broadening Of Elisa Based On Antibody Synergistic Combination, Guo Cuili, Peng Juan, Lai Weihua, Xing Keyu, Gan Bei

Food and Machinery

[Objective] To broaden the linear range of ELISA for deoxynivalenol detection. [Methods] This paper obtains three antibodies with different sensitivities via mouse immunization, cell fusion and screening, ascites preparation, and antibody purification. By optimizing the working concentration and composition ratio of the antibody synergistic combination, the optimal antibody synergistic combination ratio is applied to ELISA to determine the linear range. [Results] The optimal reaction conditions for the ic-ELISA based on synergistic antibodies are as follows: the optimal working concentrations of the coating antigen and antibody are 0.3 and 0.1 μg/mL, respectively. The linear range of the synergistic antibody is obviously …


Evaluation And Improvement Of Method For Uncertainty In The Determination Of Lead In Tea By Icp-Ms, SUN Yingze 2026 Analysis and Research Renter of Gansu Province , Lanzhou , Gansu 730000 , China

Evaluation And Improvement Of Method For Uncertainty In The Determination Of Lead In Tea By Icp-Ms, Sun Yingze

Food and Machinery

[Objective] To evaluate the uncertainty in the determination of lead in tea by inductively coupled plasma–mass spectrometry (ICP-MS) and to improve the method so as to enhance the quality of the analytical results. [Methods] Based on the mathematical model and the experimental procedure, the sources of uncertainty components were analyzed and combined. [Results] When the lead content in tea was 0.346 mg/kg, the expanded uncertainty was 0.026 mg/kg at a 95% confidence level (k = 2). After method improvement, the combined relative standard uncertainty decreased from 0.038 to 0.019, and the expanded uncertainty decreased from 0.026 mg/kg to 0.013 mg/kg. …


Quantitative Analysis Of Sorghum Starch Using Machine Learning And Near-Infrared Spectroscopy, LI Ke, OUYANG Runkun, DAI Yijie, LI Jie, HOU Aixiang, YANG Yu, LI Zongjun 2026 College of Food Science and Technology , Hunan Agricultural University , Changsha , Hunan 410128 , China

Quantitative Analysis Of Sorghum Starch Using Machine Learning And Near-Infrared Spectroscopy, Li Ke, Ouyang Runkun, Dai Yijie, Li Jie, Hou Aixiang, Yang Yu, Li Zongjun

Food and Machinery

[Objective] To establish a model for the rapid quantification of sorghum starch based on near-infrared spectroscopy and machine learning algorithms. [Methods] Brewing sorghum was used as the raw material. Near-infrared diffuse reflectance spectra were collected using a near-infrared spectrometer. The Isolation Forest algorithm was employed to remove outlier samples and optimize the dataset. Subsequently, multiple preprocessing methods and regression models were compared using various modeling software to analyze and establish a quantitative model for sorghum starch. [Results] After preprocessing with the Isolation Forest algorithm, the partial least squares regression (PLSR) model exhibited the best performance, with a coefficient of determination …


An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, ZENG Xiaoqing, ZHANG Yuyue, XIE Wenqing, ZHOU Jianhua 2026 School of Economics and Management , Changsha University of Science and Technology , Changsha , Hunan 410076 , China

An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua

Food and Machinery

Targeting the three major obstacles—information fragmentation, delayed risk response, and ambiguous accountability—in food cold chain safety governance, this study constructs an integrated cold chain safety traceability and monitoring system centered on artificial intelligence technology and incorporating the Internet of Things and blockchain. On the basis of a comprehensive risk analysis of the entire food cold chain process, and drawing on theoretical frameworks including supply chain resilience theory, information asymmetry theory, HACCP, and ISO 22000 food safety standards, this study designs a system architecture organized around five functional modules: multi-source data collection and traceability, dynamic food quality assessment, risk prediction and …


Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, HE Qing, WU Tianfeng, ZHAO Yini 2026 Hope College , Southwest Jiaotong University , Chengdu , Sichuan 610400 , China

Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini

Food and Machinery

[Objective] To address the problems of low trajectory tracking accuracy, delayed dynamic response, poor adaptability to external disturbances, and difficulty in meeting the requirements of high-speed and high-precision food sorting in the existing end-effector control of parallel food sorting robots. [Methods] A food sorting system based on a DELTA parallel robot was developed, and an end-effector control strategy integrating an improved whale optimization algorithm, adaptive fuzzy control, and nonsingular fast terminal sliding mode control was designed. Adaptive fuzzy control was used to adjust the output gain in real time to enhance controller tracking accuracy. The improved whale optimization algorithm was …


Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, LI Shuang, WANG Fengcheng, DENG Xiangzhi, LI Xinze, ZHANG Baowei, FU Yunfeng, XUE Chunzhi 2026 College of Food Science and Engineering , Henan University of Technology , Zhengzhou , Henan 450001 , China

Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, Li Shuang, Wang Fengcheng, Deng Xiangzhi, Li Xinze, Zhang Baowei, Fu Yunfeng, Xue Chunzhi

Food and Machinery

[Objective] The aim is to explore the effect of double-bin plansifter motion parameters on the material sieving efficiency of different systems after wheat milling. [Methods] The milled materials produced by the break system, tailing roll, and scratch system, obtained from a typical milling production line, were selected as raw materials. The double-bin plansifter was used to sieve different materials to investigate the variations in residence time inside the sieve body and in sieving performance under different motion parameters of milled materials in each system. The motion parameters with the optimal sieving performance for the milled materials from each system were …


Extraction Optimization For Polyphenols From Clausena Anisum-Olens Kernel , As Well As Their Antioxidant And Antibacterial Activities, LIAO Jianhong, SU Xiufang, ZHENG Guangjin, LI Ganghui 2026 College of Agriculture and Biology , Guangxi Minzu Normal University , Chongzuo , Guangxi 532200 , China;School of Light Industry and Food Engineering , Guangxi University , Nanning , Guangxi 530000 , China

Extraction Optimization For Polyphenols From Clausena Anisum-Olens Kernel , As Well As Their Antioxidant And Antibacterial Activities, Liao Jianhong, Su Xiufang, Zheng Guangjin, Li Ganghui

Food and Machinery

[Objective] To optimize the extraction process of polyphenols from Clausena anisum-olens kernel, and to analyze their in vitro antioxidant and antibacterial activities. [Methods] With ultrasonic temperature, power, time, as well as solid–liquid ratio and ethanol volume fraction as experimental factors, the response surface method was employed to optimize the ultrasonic extraction process of polyphenols from C. anisum-olens kernel. Furthermore, the in vitro antioxidant activity of the polyphenols was investigated via free radical scavenging assays, and the antibacterial activity was determined using the well diffusion method. [Results] The optimal extraction process is an ultrasonic power of 94 W, an ultrasonic time …


A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, WANG Jinkai, WU Chenchen, CHENG Rouxin, WU Rentao 2026 Shanghai Technology and Innovation Vocational College , Shanghai 201600 , China

A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, Wang Jinkai, Wu Chenchen, Cheng Rouxin, Wu Rentao

Food and Machinery

[Objective] To address the high missed detection rate of defective fruits and poor grading accuracy in current post-harvest fragrant pear sorting. [Methods] On the basis of an existing visual inspection system for fragrant pears, a machine vision detection system integrating an improved YOLOv8s algorithm and multi-dimensional morphological features is designed. An ECA attention module is introduced to enhance the model sensitivity to subtle defects, enabling fast and precise localization and segmentation of pears. Conventional morphological feature extraction is employed to conduct multi-dimensional shape analysis for identifying and rejecting defective fruits. Pressure-sensitive sensors are then used to grade the remaining qualified …


Ameliorative Effects And Mechanisms Of Crocetin On Insulin Resistance In High-Fat Diet-Induced Diabetic Mice, WEN Jing, QIN Si, LYU Chenghao 2026 College of Food Science and Technology , Hunan Agricultural University , Changsha , Hunan 410128 , China

Ameliorative Effects And Mechanisms Of Crocetin On Insulin Resistance In High-Fat Diet-Induced Diabetic Mice, Wen Jing, Qin Si, Lyu Chenghao

Food and Machinery

[Objective] To investigate the hypoglycemic, lipid-lowering, anti-inflammatory, and antioxidant effects of crocetin in high-fat diet (HFD)-induced diabetic mice, and to preliminarily explore its regulatory effects on hepatic insulin signaling pathways and protein S-nitrosylation levels. [Methods] An insulin resistance model was established in C57BL/6J mice by HFD feeding. Mice were administered low (5 mg/kg), medium (10 mg/kg), or high (20 mg/kg) doses of crocetin for 8 weeks, with metformin (200 mg/kg) used as a positive control. Fasting blood glucose, oral glucose tolerance, serum insulin, lipid profiles, hepatic oxidative stress, and inflammatory cytokines were measured. Western blot was used to detect phosphorylation …


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