农学最新文献

{"title":"Functional role of non-conventional ascomycetous yeasts in modulating aquaculture species","authors":"Sayali Haldule,&nbsp;Mamata Singhvi,&nbsp;Smita Zinjarde","doi":"10.1016/j.aaf.2025.11.007","DOIUrl":"10.1016/j.aaf.2025.11.007","url":null,"abstract":"<div><div>Globally, the aquaculture industry is one of the fastest-growing sectors in food production. To modulate the health and growth conditions of aquaculture species, probiotic feed supplements, additives, and immunostimulants of microbial origin have been used. Yeasts are becoming increasingly significant in meeting the nutritional requirements of aquaculture species, with <em>Saccharomyces cerevisiae</em> being the most extensively studied. Several other potential non-conventional Ascomycetous yeasts, such as <em>Debaryomyces hansenii</em>, <em>Yarrowia lipolytica, Candida</em> spp.<em>, Wickerhamomyces</em> spp., <em>Kluyveromyces</em> spp., <em>Blastobotrys adeninivorans</em>, and <em>Metschnikowia</em> spp., are emerging as lucrative alternatives. Products such as β-glucans, mannan oligosaccharides, pigments, and nucleotides derived from them are also gaining popularity for enhancing the overall health and performance of aquaculture species. These lesser-explored yeast genera are utilized as probiotics, feed additives, nutritional supplements, or immunostimulants in the aquaculture industry. They help improve growth performance, antioxidant activity, and hematological parameters of aquaculture species. When included in diets, they can enhance immunity, digestion, and disease resistance against various pathogens affecting aquaculture yields. Some also serve as protein sources or enhance pigment production. Strategies such as using low-cost substrates, optimizing process parameters, metabolic engineering, and genetic manipulation of these yeasts are crucial for their sustainable application in aquaculture. This review summarizes the effects of non-conventional Ascomycetous yeasts in improving the overall well-being of various aquaculture species.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"11 3","pages":"Pages 480-498"},"PeriodicalIF":0.0,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025756","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":"Vitamin D3 supplementation mitigates oxidative stress and ferroptosis, enhancing liver, spleen, and head-kidney health and growth performance in high-density cultured hybrid yellow catfish (Pelteobagrus fulvidraco♀ × Pelteobagrus vachelli♂)","authors":"Min Huang ,&nbsp;Ke Cheng ,&nbsp;Chuyi Zhang ,&nbsp;Yijia Wang ,&nbsp;Gang Yang ,&nbsp;Xiaoyan Hu ,&nbsp;Chunfang Wang","doi":"10.1016/j.aaf.2025.11.005","DOIUrl":"10.1016/j.aaf.2025.11.005","url":null,"abstract":"<div><div>This study investigated the immunomodulatory role of dietary vitamin D₃ (VD₃) in hybrid yellow catfish under high-density culture (HDC). A 2 × 3 factorial design was applied with two stocking densities and three VD₃ levels (0, 1120, 14900 IU/kg). HDC significantly increased mortality, oxidative stress, lipid peroxidation, and liver Fe²⁺ accumulation, exhibiting ferroptosis-related features. VD₃ supplementation alleviated these effects by reducing lipid peroxidation, modulating antioxidant enzymes, and activating the Keap1–Nrf2 pathway. It also upregulated <em>gpx4</em> and regulated iron/lipid metabolism, thereby improving iron homeostasis and mitigating ferroptosis. Notably, VD₃ downregulated <em>slc40a1</em> under HDC, suggesting that its regulatory mechanism is context dependent. Within the tested conditions, 1120 IU/kg VD₃ showed more pronounced protective effects against oxidative damage and ferroptosis. By contrast, under HDC, 14 900 IU/kg tended to act as an additional stressor. These findings provide new insights into the context-dependent role of VD₃ in alleviating high-density stress and sustaining antioxidant balance in fish.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"11 3","pages":"Pages 563-575"},"PeriodicalIF":0.0,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025805","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":"Ameliorative effects of flaxseed-based plant milk on water restriction-induced constipation in mice","authors":"Congcong Ma,&nbsp;Lei Wang,&nbsp;Yashu Chen,&nbsp;Qianchun Deng,&nbsp;Qingde Huang,&nbsp;Jiqu Xu","doi":"10.1016/j.ocsci.2025.10.001","DOIUrl":"10.1016/j.ocsci.2025.10.001","url":null,"abstract":"<div><div>Traditional Chinese medicine has long regarded flaxseed as a natural remedy for constipation. However, the efficacy or mechanism of flaxseed plant milk (FPM), a functional beverage derived from flaxseed, in alleviating constipation has not yet been clearly established. In this study, network pharmacology was combined with <em>in viv</em>o experiments to evaluate the anti-constipation activity of FPM on water restriction-induced constipation mouse model. Compared with the model group, administration of FPM (100 mg/kg and 200 mg/kg) significantly shortened the time to first black stool excretion, increased number of fecal pellets and water content of fecal pellets, and improved Small Intestinal Transit Rate (<em>p &lt;</em> 0.05). Histological analysis revealed that FPM (200 mg/kg) preserved colonic epithelial integrity, reduced lamina propria damage, and restored goblet cell populations. Serum biochemical assays showed that FPM decreased vasoactive intestinal peptide (VIP) levels and increased 5-hydroxytryptamine (5-HT) concentrations. Network pharmacology identified 214 overlapping targets between flaxseed bioactive compounds and constipation-related genes, with key hub targets including TP53, CASP3, TNF, and IL6. KEGG pathway enrichment suggested that the PI3K/AKT signaling pathway may serve as a central regulatory axis. Western blot further confirmed that p-PI3K and p-AKT protein levels in the colon were reduced in constipated mice, whereas FPM administration markedly restored their expression, indicating activation of the PI3K/AKT pathway. Overall, these findings demonstrate that FPM alleviates constipation by improving stool characteristics, enhancing intestinal motility, and maintaining mucosal integrity, potentially via modulation of the PI3K/AKT pathway. This study provides new insights into the gastrointestinal benefits of flaxseed-derived functional foods and supports their development as dietary supplements for intestinal health.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"11 1","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057510","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":"Molybdate application in the early stages of shrimp growth suppresses sulphide formation in a shrimp pond bottom model","authors":"Funda Torun ,&nbsp;Feyzâ Matisli ,&nbsp;Barbara Hostins ,&nbsp;Peter De Schryver ,&nbsp;Nico Boon ,&nbsp;Jo De Vrieze","doi":"10.1016/j.aaf.2025.11.004","DOIUrl":"10.1016/j.aaf.2025.11.004","url":null,"abstract":"<div><div>Oxygen depletion and sulphide formation, resulting from the accumulation of organic waste, are common challenges in shrimp ponds that could result in complete harvest failure. The stage at which these circumstances occur during the shrimp growth period remains elusive, yet, knowledge of the timing of oxygen depletion and sulphide formation is essential to enable remediating actions. Here, we used an experimental shrimp pond model at different stages in the shrimp growth period to determine when oxygen depletion and sulphide production occur. Microscale depth measurements of oxygen and H₂S were determined using microelectrodes to visualize their profiles at different depths of the water-sediment interface and the sediment. We evaluated the potential of different molybdate concentrations at different stages to determine the optimal conditions to suppress H₂S formation. Oxygen depletion and sulphide production took place in the middle of the shrimp growth cycle in the simulated model of waste accumulation. The addition of molybdate was only effective in the early stages of the onset of oxygen depletion and H₂S formation, and residual molybdate was required to ensure a continuous suppression of sulphide production. However, oxygen depletion could not be prevented and reintroduction of oxygen did not occur when molybdate was added. In conclusion, molybdate appeared to be an effective strategy to suppress H₂S formation at the onset of its production in a shrimp pond bottom model.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"11 3","pages":"Pages 595-604"},"PeriodicalIF":0.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026082","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":"Potential antibiotics contamination in aquaponic systems: Antimicrobial gene, mitigation and treatment approaches","authors":"Bhesh Kumar Karki ,&nbsp;Suniti Shrestha ,&nbsp;Suman Poudel ,&nbsp;Michael J. Angove ,&nbsp;Raju Kumar Gupta ,&nbsp;Shukra Raj Paudel","doi":"10.1016/j.aaf.2025.11.006","DOIUrl":"10.1016/j.aaf.2025.11.006","url":null,"abstract":"<div><div>This study provides a comprehensive review of the potential sources, occurrence, and impacts of antibiotics in aquaponics, along with suggested alternatives and mitigation measures to address contamination. Despite the standard prohibition against using antibiotics in aquaponics, their presence and the occurrence of antibiotic resistance genes (ARGs) remain concerning due to misuse and secondary contamination from various sources. Antibiotics can enter the aquaponic environment through various sources, such as hospital discharges, wastewater treatment facilities, and other feed sources. Existing literature on the impacts of antibiotics and ARGs in aquaponics is limited. When antibiotics enter the system, they can be detected in different components of aquaponics such as water, sediment, fish bodies, and plant roots, increasing the likelihood of developing antibiotic resistance. The emergence of ARGs could mainly occur through horizontal or vertical gene transfer pathways, while, external factors such as the presence of heavy metals and microplastics can facilitate the acquisition and proliferation of these genes. This study proposes alternative methods for disease management, enhancing systemic immunity, and future research directions. It also recommends various treatment technologies that might be integrated into aquaponic systems to mitigate the potential antibiotic contamination, aiming to prevent the issues that have arisen in traditional aquaculture, where the overuse of antibiotics has turned environments into hotspots for the proliferation of ARGs.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"11 3","pages":"Pages 463-479"},"PeriodicalIF":0.0,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025799","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":"Winners of the Brazilian soybean yield contest: climatic, soil, management, and economic factors","authors":"Julierme Zimmer Barbosa ,&nbsp;Antonio Carlos Vargas Motta ,&nbsp;Giovana Poggere ,&nbsp;Stephen A. Prior","doi":"10.1016/j.ocsci.2025.07.003","DOIUrl":"10.1016/j.ocsci.2025.07.003","url":null,"abstract":"<div><div>Soybean yield contests have been generating useful information regarding the cultivation of this important crop commodity. The aim of this study was to analyze environmental, management, and economic variables associated with soybean yield contest winners in Brazil. Data from eleven summer soybean harvests included grain yield, rainfall, climatic and agronomic efficiency, soil chemical and physical attributes, management strategies, and economic indicators. Two grain yield classes were evaluated: 1) high yield (4967–6839 kg ha⁻¹) and 2) very high yield (6859–8945 kg ha⁻¹). Enhanced soybean yield was due to adequate rainfall that led to high climatic efficiency (77 %) and high agronomic efficiency; average values ranged between 78 % (high yield class) and 86 % (very high yield class). Correction and maintenance of soil chemical and physical quality (surface and subsurface), alternative fertilization and microbial co-inoculation were notable. Winners in the very high yield class reported higher soil K⁺, Ca²⁺, and Mg²⁺ levels, more frequent use of dolomitic limestone, greater soil structural quality, greater use of biostimulants (via foliar spray), and higher net revenue. While high climatic efficiency was fundamental for success, intensive integration of technologies with conservation practices for better soil and crop management are necessary to maximize soybean yield and economic gains.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 4","pages":"Pages 294-302"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885806","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":"Leveraging close-range UAV phenotyping and GWAS for enhanced understanding of slash pine growth dynamics","authors":"Xianyin Ding ,&nbsp;Pieter B. Pelser ,&nbsp;Cong Xu ,&nbsp;Ilga Porth ,&nbsp;Mingming Cui ,&nbsp;Yousry A. El-Kassaby ,&nbsp;Shu Diao ,&nbsp;Qifu Luan ,&nbsp;Yanjie Li","doi":"10.1016/j.inpa.2025.07.002","DOIUrl":"10.1016/j.inpa.2025.07.002","url":null,"abstract":"<div><div>Advances in high-throughput phenotyping and genomics have accelerated our comprehension of plant functional differentiation. Nevertheless, efficiently phenotyping long-lived tree breeding populations and studying their dynamic response to field conditions remains a challenge, hindering genetic dissection and selective breeding efforts. This study refined and employed a newly developed high-efficiency unmanned aerial vehicle (UAV) imaging system to assess the temporal response of a slash pine (<em>Pinus elliottii</em>) breeding population in field conditions quantitatively over 2 years, identifying six strongly interrelated dynamic growth traits. In a genome-wide association study, 34 trait-associated loci explained between 1.1 % and –14.2 % of temporal phenotypic variation. These genes and regulatory loci influence signal reception, transduction, and transcriptional regulation networks in dynamic growth, impacting metabolic pathways such as cell membrane assembly, cell wall degradation, and cell differentiation. The enhanced UAV imaging system facilitates comprehensive analysis of dynamic growth response in trees, aiding in the discovery of informative alleles to unravel the genetic basis of complex phenotypic variation in conifers.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 4","pages":"Pages 550-564"},"PeriodicalIF":7.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145697904","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":"YOLOv8-DDS: A lightweight model based on pruning and distillation for early detection of root mold in barley seedling","authors":"Huang Junjie ,&nbsp;Ma Zheng ,&nbsp;Wu Yuzhu ,&nbsp;Bao Yujian ,&nbsp;Wang Yizhe ,&nbsp;Su Zhongbin ,&nbsp;Guo Lifeng","doi":"10.1016/j.inpa.2025.07.004","DOIUrl":"10.1016/j.inpa.2025.07.004","url":null,"abstract":"<div><div>Root mold proliferation presents a significant challenge in the industrial production of hydroponic barley seedlings. The small size, inconspicuous coloration, and indiscernible image of early mold regions pose new demands on detection accuracy. This study constructed a dataset of root mold in barley seedlings throughout their growth cycle and proposed the YOLOv8n-DDS detection model to integrate a lightweight detection model into a three-dimensional cyclic cultivation system. The model incorporates the dynamic sample (DySample) operator, combines deformable ConvNets v2 (DCNv2) with C2f, and reconstructs the detection head using seam carving (SEAM) technology, which enhances its capability to extract multi-scale, minute features of early-stage root mold in barley. To improve the model’s performance on edge-embedded devices, this study employed layer-wise adaptive magnitude pruning and channel-wise knowledge distillation methods, thereby significantly reducing the model’s parameter count and computational load. The pruned and distilled model was subsequently deployed on the Jetson Nano platform for validation. Results indicate that the YOLOv8n-DDS model outperformed the baseline model in terms of precision, recall, and mAP50 by 2.4 %, 5.6 %, and 2.2 %, respectively. The parameter count was reduced by 23.8 %, and the computational complexity (Giga floating-point operators per second) was optimized by 14.8 %. Additionally, the detection latency on resource-constrained embedded devices was further reduced by 25.8 % with TensorRT acceleration. The proposed root mold detection model is lightweight and contributes to the intelligent and technological integration of the industrial production process for high-quality barley seedling forage.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 4","pages":"Pages 581-594"},"PeriodicalIF":7.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145697906","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":"Multiple adulteration detection of olive oils by Raman spectroscopy","authors":"Xue Li ,&nbsp;Du Wang ,&nbsp;Li Yu ,&nbsp;Fei Ma ,&nbsp;Xuefang Wang ,&nbsp;Liangxiao Zhang ,&nbsp;Peiwu Li","doi":"10.1016/j.ocsci.2025.08.001","DOIUrl":"10.1016/j.ocsci.2025.08.001","url":null,"abstract":"<div><div>The increasing prevalence of multiple adulteration in olive oil affects product authenticity and market integrity. Therefore, it is necessary to develop advanced methods to detect the multiple adulteration. In this study, a portable Raman spectrometer was employed to address this issue, with adulterant mixtures using a D-optimal mixture design to ensure representative samples. The results showed that principal component analysis (PCA) was unable to distinguish authentic olive oils from adulterated ones, whereas partial least squares-discriminant analysis (PLS-DA) successfully differentiated the two groups. These findings demonstrated the technical feasibility of combining Raman spectroscopy with PLS-DA to detect multiple adulteration in olive oil, offering a promising method for portable, rapid authentication to counter increasingly sophisticated fraud in the edible oil industry.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 4","pages":"Pages 348-353"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927603","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":"Winter wheat yield prediction using linear and nonlinear machine learning algorithms based on climatological and remote sensing data","authors":"Muhammad Haseeb ,&nbsp;Zainab Tahir ,&nbsp;Syed Amer Mahmood ,&nbsp;Aqil Tariq","doi":"10.1016/j.inpa.2025.02.004","DOIUrl":"10.1016/j.inpa.2025.02.004","url":null,"abstract":"<div><div>In the pursuit of enhancing agricultural forecasting in Pakistan, this research integrates remote sensing indices and climatic variables through advanced machine learning algorithms. By meticulously examining ten model combinations within different wheat season scenarios, the study employs nonlinear models, such as Random Forest (RF) and Support Vector Machines (SVM), and linear models, like Least Absolute Shrinkage and Selection Operator (LASSO) and Ridge. This research aims to predict wheat yield in Pakistan by integrating five remote sensing indices, including the Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI), Atmospherically Resistant Vegetation Index (ARVI) with five climatic variables: Maximum Temperature (<span><math><msub><mi>T</mi><mrow><mi>max</mi></mrow></msub></math></span>), Minimum Temperature (<span><math><msub><mi>T</mi><mrow><mi>min</mi></mrow></msub></math></span>), Rainfall (R), Soil Moisture (SM), and Windspeed (WS) alongside the drought index and standardized Precipitation Evapotranspiration Index (SPEI). Ten model combinations were created within two wheat season scenarios: Full Seasonal Mean Scenario 1 (FSM) (SC1) and Peak Seasonal Mean Scenario 2 (PSM) (SC2). Two nonlinear ML algorithms, RF and SVM, and two linear models, LASSO and Ridge, were employed in both scenarios. Results indicated that in SC1, the RF model combination (GNDVI + SPEI + WS + SM) outperformed other models (R² = 0.75, RMSE = 2.40, MAE = 1.98). Similarly, in SC2, the RF regression surpassed SVM, with the model combination (GNDVI + SPEI + WS + SM) demonstrating the highest performance, achieving R² = 0.78, RMSE = 2.25, and MAE = 1.88, followed by (NDVI + <span><math><msub><mi>T</mi><mrow><mi>max</mi></mrow></msub></math></span> + <span><math><msub><mi>T</mi><mrow><mi>min</mi></mrow></msub></math></span> + PPT + PET + WS + SM; R² = 0.75). The linear LASSO model also performed similarly to RF, achieving R² = 0.74–0.69 in both scenarios. The findings advocate for utilizing SC2 for yield prediction in ML models. Overall, this study underscores the significance and potential of ML methodologies in timely crop yield prediction across various crop growth stages, thereby establishing a robust foundation for ensuring regional food security.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 4","pages":"Pages 431-444"},"PeriodicalIF":7.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145697950","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}