Xiaohua Bian, Zhan Jiang, Yifan Cao, Fangyuan Huang, Bo Duan, Xiaolu Xiao, Ni Ma
{"title":"Characteristics of heat and water resources allocation and utilization in rice-rice/re-rape triple cropping systems in Southern China","authors":"Xiaohua Bian, Zhan Jiang, Yifan Cao, Fangyuan Huang, Bo Duan, Xiaolu Xiao, Ni Ma","doi":"10.1016/j.jafr.2025.102094","DOIUrl":"10.1016/j.jafr.2025.102094","url":null,"abstract":"<div><div>Crop rotation is a cultivation system that utilizes the growth and ecological requirements of different crops on the same fields. The rice-rice/re-rape rotation system is a sustainable agricultural model, yet challenges persist due to field occupation conflicts between crops. To improve the rotation system, the heat and water resource allocation patterns across six experimental sites in Southern China are analyzed and guidance for triple rotation system cultivation is proposed. Results indicate that a 180-day period in the field for either rice or rapeseed is the key point to establishing triple cropping system in Southern China. Moreover, the growth periods of rice and rapeseed in south of 27°N already meet the requirements for triple cropping production, and efforts should be made to improve yield and income, particularly in Liuzhou. However, it is necessary to shorten the growth period of rapeseed in regions between 27°N and 30°N to achieve a seamless annual transition. Therefore, conducting cultivation technology research based on field trials in different regions will be of great significance for optimizing grain-oil production and advancing sustainable agriculture in China.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102094"},"PeriodicalIF":4.8,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Peihua Ma , Si Chen , Wenfan Su , Jiping Sheng , Xiaoxue Jia , Cheng-I Wei , Yunbo Luo , Jiao Xu , Yan Song , Ling Yong , Tong Ou , Ying Yue
{"title":"Assessing GPT's capabilities in consumer food survey analysis: A comparative approach for understanding food technophobia and novel protein perceptions","authors":"Peihua Ma , Si Chen , Wenfan Su , Jiping Sheng , Xiaoxue Jia , Cheng-I Wei , Yunbo Luo , Jiao Xu , Yan Song , Ling Yong , Tong Ou , Ying Yue","doi":"10.1016/j.jafr.2025.102086","DOIUrl":"10.1016/j.jafr.2025.102086","url":null,"abstract":"<div><div>This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey analysis methods face limitations in handling large-scale, open-ended responses, whereas GPT's natural language processing capabilities offer efficient, bias-reduced alternatives. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), we investigate how food technophobia (FTN) and food values (FV) affect perceived benefits (PB) and perceived risks (PR), ultimately influencing consumer acceptance. Results show that acceptance is highest for plant-based foods and lowest for cultured meat, with PB positively and PR negatively impacting consumer willingness to these foods. Mediation analysis reveals that PR and PB mediate the effects of FTN and FV on acceptance, indicating that attitudes toward food safety, naturalness, and production processes shape consumer choices. The findings underscore the value of using GPT for comprehensive, real-time survey analysis and suggest marketing strategies and policies that emphasize product safety, environmental benefits, and consumer education to enhance acceptance of alternative proteins.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102086"},"PeriodicalIF":4.8,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Subrata Saha , Mohammad Jahangir Alam , Al Amin Al Abbasi , Ismat Ara Begum , Maria Fay Rola-Rubzen , Andrew M. McKenzie
{"title":"Impact of human capital and remittances on agricultural productivity in Bangladesh","authors":"Subrata Saha , Mohammad Jahangir Alam , Al Amin Al Abbasi , Ismat Ara Begum , Maria Fay Rola-Rubzen , Andrew M. McKenzie","doi":"10.1016/j.jafr.2025.102073","DOIUrl":"10.1016/j.jafr.2025.102073","url":null,"abstract":"<div><div>This study examines the impact of human capital and remittances on agricultural labor productivity at the regional level in Bangladesh between 2000 and 2016. Using data from four waves of the nationally representative Household Income and Expenditure Survey, the study employs Ordinary Least Squares, Fixed Effects, and Panel Corrected Standard Error Models. The findings indicate a positive association between agricultural labor productivity and both human capital and remittance inflows, with additional gains observed from improved access to technology and electricity. In contrast, farm size is negatively associated with productivity. The findings suggest that increased investment in education and healthcare, improved accessibility, and policies facilitating remittance inflows could enhance agricultural labor productivity. Therefore, the government should allocate resources to expand access to education and healthcare, improve workforce skills and reducing illness-related absenteeism. Additionally, promoting remittance inflows, supporting agricultural investments, enhancing access to technology and electricity, and ensuring fair land allocation policies could further boost productivity in the sector.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102073"},"PeriodicalIF":4.8,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yao Zhang, Yan Liu, Qi Dong, XinZhe Tang, Qun Jiang, Xiaojian Gao, Xiaojun Zhang
{"title":"The role of vitamin D3 in ameliorating LPS-induced flesh quality depress in grass carp (Ctenopharyngodon idella): Insights into antioxidant capacity, collagen synthesis, and myofiber development","authors":"Yao Zhang, Yan Liu, Qi Dong, XinZhe Tang, Qun Jiang, Xiaojian Gao, Xiaojun Zhang","doi":"10.1016/j.jafr.2025.102081","DOIUrl":"10.1016/j.jafr.2025.102081","url":null,"abstract":"<div><div>The global aquaculture industry struggles to maintain flesh quality under stress conditions, particularly during pathogen infections. This study investigated the effects of dietary vitamin D<sub>3</sub> (VD<sub>3</sub>) supplementation on flesh quality and myofiber development in on-growing grass carp (<em>Ctenopharyngodon idella</em>) subjected to lipopolysaccharide (LPS)-induced stress. A 70-day feeding trial was conducted with two dietary treatments (control group and VD<sub>3</sub> group), followed by an LPS challenge. Results demonstrated that VD<sub>3</sub> significantly mitigated LPS-induced deterioration in flesh quality by enhancing crude protein and lipid content, reducing moisture levels, and improving pH, and hydroxyproline. VD<sub>3</sub> enhanced collagen synthesis via TGF-β/Smads signaling pathway and attenuated oxidative damage by reducing oxidate damage biomarkers, while boosting antioxidant enzyme activities (SOD, CAT, GR, GPx, and GST) and glutathione content. Moreover, VD<sub>3</sub> alleviated endoplasmic reticulum stress by downregulating key markers (<em>ATF6</em>, <em>PERK</em>, <em>eIF2α</em>, <em>XBP1</em>, <em>CHOP</em>, <em>IRE1</em>, and <em>GRP78</em>). Furthermore, VD<sub>3</sub> promoted myofiber hypertrophy, as indicated by upregulating cell cyclins (<em>Cyclin B</em>, <em>Cyclin D</em>, and <em>Cyclin E</em>), <em>PCNA</em>, and cell adhesions (<em>Cadherin-1</em>, <em>Cadherin-17</em>, <em>Cadherin-18, Integrin α10</em>, <em>Integrin β1</em>, and <em>Integrin β2</em>). These findings indicate that VD<sub>3</sub> improves flesh quality through the augmentation of antioxidant capacities, collagen synthesis, and myofiber development, while mitigating LPS-induced oxidative and endoplasmic reticulum stress. This research offers novel perspectives into VD<sub>3</sub> as a nutritional intervention for enhancing stress resilience and flesh quality in aquaculture.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102081"},"PeriodicalIF":4.8,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kiki Lukman , Prapanca Nugraha , Nurpudji Astuti Taslim , Nuril Farid Abshori , Elvan Wiyarta , Timothy Sahala Gerardo , Krisanto Tanjaya , Juan Leonardo , Raymond Rubianto Tjandrawinata , Happy Kurnia Permatasari , Fahrul Nurkolis
{"title":"Identification of novel anti-tumor peptides from enzymatic hydrolysis of soy-based tempeh and their mechanism in pancreatic and colorectal cancer cells","authors":"Kiki Lukman , Prapanca Nugraha , Nurpudji Astuti Taslim , Nuril Farid Abshori , Elvan Wiyarta , Timothy Sahala Gerardo , Krisanto Tanjaya , Juan Leonardo , Raymond Rubianto Tjandrawinata , Happy Kurnia Permatasari , Fahrul Nurkolis","doi":"10.1016/j.jafr.2025.102084","DOIUrl":"10.1016/j.jafr.2025.102084","url":null,"abstract":"<div><div>The aim of this work was to identify peptides in a hydrolysate of soy-based tempeh (SBTE), and determine their antitumor function using bioinformatics and mode cells. The work employed a multi-faceted approach to determine the antitumor activity of SBTE and its derived peptide components against pancreatic and colorectal cancer cells. The soy-based tempeh was hydrolyzed with trypsin, followed by metabolic analysis to identify a new peptide P1 (GENEEEDSGAIVTVK) together with four dipeptides. A network pharmacology analysis allowed the identification of 140 genes and proteins related to colorectal and pancreatic cancer that target of the tempeh peptides. from key receptors involved in cancer signaling, particularly colorectal and pancreatic cancers. Major interactions included the renin-angiotensin system, apoptosis-multiple species, microRNAs in cancer, and cytokine signaling pathways. The dipeptides exhibited strong binging with cancer receptors such Poly (ADP-ribose) polymerases 1 (PARP1, ΔG -6.5 kcal/mol) and epidermal growth factor (EGFR, ΔG -6.2 kcal/mol). In the PANC-1 pancreatic and HT-29 colon cells, the hydrolysate and the peptides downregulated by 10-fold the expression for five cancer receptors namely EGFR, iNOS, BIRC2, ANPEP, and PARP1. This research provides new insights into the properties of tempeh peptides, which could lead to the development of functional foods or new drugs for anticancer therapy.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102084"},"PeriodicalIF":4.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beneficial effects of molasses extract in treatment of nonalcoholic fatty liver disease in high-fat diet-induced obese rats through regulation of lipid metabolism, bile acid, and oxidative stress","authors":"Sopita Wongphukhiaw , Panadda Jako , Sayomphu Puengpan , Nuthathai Sutthiwong , Sakara Tunsophon","doi":"10.1016/j.jafr.2025.102085","DOIUrl":"10.1016/j.jafr.2025.102085","url":null,"abstract":"<div><h3>Background</h3><div>One useful byproduct of the sugar industry is molasses. Main phytochemicals consist of phenolic compounds, plant sterols, octacosanol, tocopherol, and policosanol, which have antioxidant and hypolipidemic properties, reduce oxidative stress and inflammation. A natural product extracted from molasses, which has not been previously evaluated in context, was investigated for the treatment of nonalcoholic fatty liver disease (NAFLD) in high-fat diet-induced obese rats, thus contributing new evidence for therapeutic approaches to NAFLD.</div></div><div><h3>Methods</h3><div>The rats were divided into five groups: a control group, a high-fat diet (HFD) group, two groups receiving a low dose (M250) or a high dose (M400) of molasses extract, as well as a positive control group (P20). After four weeks on the high-fat diet, the rats were treated with oral administration of the substance. This study investigated parameters associated with obesity, NAFLD, oxidative markers, lipid metabolism, bile acid pathways, and liver morphological changes.</div></div><div><h3>Results</h3><div>Molasses extract significantly improved lipid profiles, increased expression of nuclear factor erythroid 2-related factor 2 protein, resulting in elevated antioxidant enzyme activities and reduced malondialdehyde levels, improved lipid and bile acid metabolisms by enhancing the expressions of low-density lipoprotein receptor, cholesterol 7-alpha-monooxygenase, bile salt export pump, and β-oxidation markers. The extract downregulated the expression of fatty acid synthase, acetyl-CoA carboxylase, HMG-CoA reductase, and cluster of differentiation 36. The histopathological results showed a notable reduction in NAS scores.</div></div><div><h3>Conclusions</h3><div>Molasses extract showed promising therapeutic effects against NAFLD in obese rats, improving hepatic steatosis, antioxidant defenses, and modulating lipid metabolism and bile acid pathways.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102085"},"PeriodicalIF":4.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Blessing Mhlanga , Kelvin Kalala , Christian Thierfelder
{"title":"Conservation agriculture can enhance maize productivity in high-rainfall regions: Nine-year evidence from Northern Zambia","authors":"Blessing Mhlanga , Kelvin Kalala , Christian Thierfelder","doi":"10.1016/j.jafr.2025.102082","DOIUrl":"10.1016/j.jafr.2025.102082","url":null,"abstract":"<div><div>Conservation Agriculture (CA) is often perceived to underperform in high-rainfall regions, leading to limited research and promotion in such environments. In Zambia, most CA studies have focused on Southern and Eastern regions, with little emphasis on Northern Zambia, despite its need for improved productivity and sustainability. Understanding CA's performance in high-rainfall areas is critical for sustainable agricultural intensification. This nine-year study in Northern Zambia evaluated the effects of cropping systems and rainfall variability on maize productivity, soil pH, and soil organic carbon (SOC) using a randomized complete block design. Three CA-based cropping systems were compared to two conventional tillage systems. Yearly precipitation showed significant interannual variability, influencing maize grain yield in a complex cubic response pattern, highlighting nonlinear interactions between cropping systems and rainfall. CA-based systems generally outperformed conventional tillage, particularly in moderate to below-average rainfall years, demonstrating resilience under drier conditions. However, conventional ridge and furrow tillage outperformed CA systems during exceptionally high rainfall years, likely due to better drainage. Over time, yield declines indicated soil fertility depletion, though CA-based systems slowed this decline compared to conventional tillage. Rainfall was identified as a primary driver of cropping system performance, with CA-based systems performing better in below-average to moderate rainfall years and tillage-based systems in excessive rainfall years. Soil pH increased significantly under basin planting at 5–15 cm and 30–60 cm depths, while SOC accumulation was highest at 60–90 cm under ridge and furrow tillage. These findings suggest that while CA can enhance maize productivity in high-rainfall regions, site-specific management strategies are needed to mitigate waterlogging and sustain soil fertility. Further research is needed to explore soil-water dynamics and optimize CA practices under varying rainfall regimes.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102082"},"PeriodicalIF":4.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unsupervised delineation of chicken eggs based on the universal avian egg model","authors":"Paramate Horkaew , Sajeera Kupittayanant , Pakanit Kupittayanant","doi":"10.1016/j.jafr.2025.102071","DOIUrl":"10.1016/j.jafr.2025.102071","url":null,"abstract":"<div><div>Due to advancements in computing technology, egg image processing has become an industrial standard in poultry research. It has been utilized at various stages of chicken breeding and hatchery, as well as egg quality assessment and control. Thus far, existing methods are impeded by the need for problem specific provisions, whose inherent setting is counterintuitive, or those involving overly complex artificial neural networks. Motivated by the latest development of universal avian egg models, this paper proposes an automated egg delineation method, based on expectation-maximization framework. Accordingly, only a few model and pose parameters were required, discarding the need for large, annotated training dataset or excessive priors. Moreover, numerical treatments were also implemented to ensure its stability in practice. The experiments on a public dataset demonstrate that the method could segment eggs of various shapes and sizes and be acquired under different perspectives and lighting conditions. Reported performance analyses revealed the average dice coefficient and intersection of union of 0.9782 and 0.9575, respectively. Its resilience to noise and partial occlusion were also evaluated. Thus, the proposed method not only enhances this critical task, but is also expected to be integrable with existing egg image recognition workflows in precision farming and food inspection.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102071"},"PeriodicalIF":4.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do technological innovations in working conditions influence consumer preferences for chicken meat?","authors":"Giulia Maesano , Vilma Xhakollari , Maurizio Canavari","doi":"10.1016/j.jafr.2025.102077","DOIUrl":"10.1016/j.jafr.2025.102077","url":null,"abstract":"<div><div>This study examines how information about the introduction of innovative technologies that improve working conditions influences consumers' perceptions and preferences for chicken breast. The study uses a discrete choice experiment to investigate the preferences and willingness to pay (WTP) of 663 Italian respondents who were presented with an online questionnaire. To assess the impact of innovation on brand equity, the sample was randomly divided into two groups: the treatment group (T), which received information on the impact of the application of the solutions provided in the innovation plan on employee well-being, and the control group (C), which received no information. The results show that consumers perceive the innovation positively, but the effect on brand equity is not significant. In addition, consumers prefer a lower priced product and the organic option is strongly preferred over all other production methods. Finally, information about technological innovation does not influence consumers' purchase intentions.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102077"},"PeriodicalIF":4.8,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quansheng Dou , Yuchen Ning , Bingxi Chen , Guangfen Wei , Jing Liu
{"title":"Customized e-nose sensor array configuration and VOCs pattern analysis for Cabernet Sauvignon grape post-harvest quality monitoring","authors":"Quansheng Dou , Yuchen Ning , Bingxi Chen , Guangfen Wei , Jing Liu","doi":"10.1016/j.jafr.2025.102029","DOIUrl":"10.1016/j.jafr.2025.102029","url":null,"abstract":"<div><div>Cabernet Sauvignon grape, a globally renowned red wine grape variety, is valued for its distinctive aromatic profile. And this makes quality maintenance during post-harvest storage, transportation, and winemaking processes critical. Traditional quality assessment methods, which rely on expert sensory evaluation, are inherently subjective and impractical for large-scale operations. This study innovatively applies electronic nose (e-nose) technology, which uses clustering analysis of volatile organic compounds (VOCs) emitted by grapes, to monitor the quality states of Cabernet Sauvignon grapes. A customized sensor array made up of eight specialized sensors was developed to capture unique VOCs signatures across different quality stages. Principal Component Analysis (PCA) reduced the data volume by 50% while preserving 97% variance, streamlining downstream analyses. Clustering analysis was performed on the processed e-nose data. Its validity was confirmed by Rand Index (RI = 0.8336) and Fowlkes–Mallows Index (FMI = 0.7831), both exceeding empirically established reliability thresholds (RI <span><math><mo>></mo></math></span> 0.8; FMI <span><math><mo>></mo></math></span> 0.75). The patterns identified by clustering were then used to construct a VOC prediction model, and achieved an overall accuracy of 0.9583 and weighted performance metrics of precision = 0.9632, recall = 0.9583, and F1-score = 0.9599. This demonstrates the method’s effectiveness in identifying and predicting VOC patterns. From the cluster analysis results, it was found that the e-nose showed superior sensitivity to grape condition changes compared to human senses. The early warning rules defined by clustering outcomes triggered 100% successful alerts prior to observable quality state transitions. This early warning capability provides actionable intervention windows before irreversible deterioration. This work advances Cabernet Sauvignon grapes post-harvest quality monitoring and offers broader implications for quality control in perishable agricultural supply chains.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102029"},"PeriodicalIF":4.8,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}