Efficient, rapid, and non-destructive detection of pesticide residues in fruits vegetables is essential for food safety. The visible/near infrared (VNIR) short-wave (SWIR) hyperspectral imaging (HSI) systems were used to detect different types on the surface Hami melon. Taking four pesticides commonly melon as object, effectiveness single-band spectral range information fusion classification was compared. results showed that effect better by using after fusion. Then, a custom multi-branch...

Abstract At present, the mainstream mode of machine learning algorithms is data‐driven method, which mainly relies on self‐learning ability deep neural networks and continuously evolving models in training. However, pure method has some critical problems, such as high data collection cost, poor interpretability easy to be disturbed by noise. Although knowledge‐driven stability, it lacks evolution face comprehensive complex problems. In recent years, convergence domain knowledge combined...

Large amounts of waste result from licorice mold rot; moreover, prompt drying directly influences product quality and value. This study compared various glycyrrhiza methods (Hot air (HAD), infrared combined hot (IR-HAD), vacuum freeze (VFD), microwave (MVD), pulsation (VPD)) that are used in the processing traditional Chinese medicine. To investigate effects on characteristics internal slices, their color, browning, total phenol, flavonoid, active components (liquiritin glycyrrhizic acid)...

Abstract Effective detection of tomatoes with early decay still remains one the major problems in post‐harvest processing. The feasibility using visible and near infrared (Vis–NIR) hyperspectral reflectance imaging coupled image‐spectrum merging processing analysis technology to detect on was observed. Mean normalization method used correct uneven illumination caused by large curvature change reflective characteristics tomato surface. Principal component (PC) clustering spectra find optimal...

The problem of pyrethroid residues has become a topical issue, posing potential food safety concern. Pyrethroid pesticides are widely used to prevent and combat pests in Hami melon cultivation. Due its high sensitivity accuracy, gas chromatography (GC) is most frequently for detecting pesticide residues. However, GC cost complex operation. This study proposed deep-learning approach based on the one-dimensional convolutional neural network (1D-CNN), named Deepspectra network, detect...

Abstract Processing tomato ( Lycopersicon esculentum Mill .) is a very important horticultural product all over the world. Soluble solid content (SSC) as key quality assessment parameter of processing directly affects and cost products such paste. This study proposes an analytical method for quantitatively SSC in tomatoes by using visible near‐infrared (Vis‐NIR) hyperspectral transmittance imaging technique multi‐parameter compensation models. Monte‐Carlo outlier detection was applied to...

In the field of safety detection fruits and vegetables, how to conduct non-destructive pesticide residues is still a pressing problem be solved. response high cost destructive nature existing chemical methods, this study explored potential identifying different on Hami melon by short-wave infrared (SWIR) (spectral range 1000-2500 nm) hyperspectral imaging (HSI) technology combined with machine learning. Firstly, classification effects classical models, namely extreme learning (ELM), support...

Cotton processing is the process of converting harvested seed cotton into lint by cleaning, ginning, and cleaning lint. The real-time acquisition parameters during critical in improving quality efficiency. existing online inspection system cannot realize quantitative sampling detection, resulting large fluctuations detection moisture rate, impurity content can only be measured according to number grains percentage areas. This research developed a device for that collect right samples obtain...

In order to explore the characteristics of flow field in cavity dual-airway pneumatic fallen jujube fruit pickup device key components under action negative pressure air and optimize structural parameters device, a numerical simulation model body mouth was constructed based on computational fluid dynamics. First all, influence center partition suction analyzed. Secondly, taking velocity unevenness coefficient as response index, single factor test carried out structure obtain optimal value...

Abstract Background Agricultural image acquisition and target detection are the key links of agricultural precision intelligence. Facing practical problems complex orchard environment large workload, existing models have such as number parameters, slow speed, low accuracy poor generalization. Methods In this paper, an improved YOLOv8 model facing orchards is proposed. Firstly, dataset efficiently extracted using frame extraction algorithm, enhanced CLAHE enhancement method; secondly,...

The linkage mechanism of a cotton bundle fiber strength tester will have an unstable clamping force when samples with uneven thickness, resulting in slippage or damage to the fibers increasing pectin residue, leading inaccurate test results and increased maintenance costs. To address this problem, according structural principle connecting rod-clamping mechanism, through geometric relationship between rods establish parametric model use virtual work on solve force, proposed new Dynamic...