Journal of Food Measurement & Characterization, Год журнала: 2024, Номер unknown
Опубликована: Сен. 13, 2024
Язык: Английский
Agriculture, Год журнала: 2025, Номер 15(1), С. 81 - 81
Опубликована: Янв. 1, 2025
In modern agriculture, plant protection is the key to ensuring crop health and improving yields. Intelligent pesticide prescription spraying (IPPS) technologies monitor, diagnose, make scientific decisions about pests, diseases, weeds; formulate personalized precision control plans; prevent pests through use of intelligent equipment. This study discusses IPSS from four perspectives: target information acquisition, processing, spraying, implementation control. acquisition section, identification based on images, remote sensing, acoustic waves, electronic nose are introduced. processing methods such as pre-processing, feature extraction, pest disease identification, bioinformatics analysis, time series data addressed. impact selection, dose calculation, time, method resulting effect formulation in a certain area explored. implement vehicle automatic technology, droplet characteristic technology their applications studied. addition, this future development prospectives IPPS technologies, including multifunctional systems, decision-support systems generative AI, sprayers. The advancement these will enhance agricultural productivity more efficient, environmentally sustainable manner.
Язык: Английский
Процитировано
1
Journal of Semiconductors, Год журнала: 2023, Номер 44(2), С. 023104 - 023104
Опубликована: Фев. 1, 2023
Abstract The threat posed to crop production by pests and diseases is one of the key factors that could reduce global food security. Early detection critical importance make accurate predictions, optimize control strategies prevent losses. Recent technological advancements highlight opportunity revolutionize monitoring diseases. Biosensing methodologies offer potential solutions for real-time automated monitoring, which allow in early thus support sustainable protection. Herein, advanced biosensing technologies including image-based technologies, electronic noses, wearable sensing methods are presented. Besides, challenges future perspectives widespread adoption these discussed. Moreover, we believe it necessary integrate through interdisciplinary cooperation further exploration, may provide unlimited possibilities innovations applications agriculture monitoring.
Язык: Английский
Процитировано
18
Sensors, Год журнала: 2024, Номер 24(15), С. 4806 - 4806
Опубликована: Июль 24, 2024
Artificial olfaction, also known as an electronic nose, is a gas identification device that replicates the human olfactory organ. This system integrates sensor arrays to detect gases, data acquisition for signal processing, and analysis precise identification, enabling it assess gases both qualitatively quantitatively in complex settings. article provides brief overview of research progress nose technology, which divided into three main elements, focusing on gas-sensitive materials, applications, methods. Furthermore, review explores traditional MOS materials newer porous like MOFs sensors, summarizing applications noses across diverse fields including disease diagnosis, environmental monitoring, food safety, agricultural production. Additionally, covers pattern recognition drift suppression algorithms. Ultimately, summary identifies challenges faced by current systems offers innovative solutions future advancements. Overall, this endeavor forges solid foundation establishes conceptual framework ongoing field.
Язык: Английский
Процитировано
9
Chemical Engineering Journal, Год журнала: 2022, Номер 453, С. 139824 - 139824
Опубликована: Окт. 17, 2022
Язык: Английский
Процитировано
29
Rice, Год журнала: 2022, Номер 15(1)
Опубликована: Окт. 29, 2022
Abstract Rice ( Oryza sativa L.), as the main refined grain in China, has attracted much attention terms of quality. is usually consumed after cooking, and it a commonly staple food. Nowdays, people's requirements for cooked rice focus more on taste characteristics Furthermore, aroma one primary sensory reference points, which most intuitive way people to judge rice. By integrating analyzing researches identification recent five years, this paper expounds extraction methods (sensory evaluation method, GC-MS, SPME, MOS sensors, electronic nose, etc.) flavor substances rice, processing properties volatile organic compounds under different conditions are summarized well. Graphical abstract
Язык: Английский
Процитировано
26
Horticulture Research, Год журнала: 2023, Номер 10(5)
Опубликована: Апрель 18, 2023
Abstract As a crop quality sensor, Raman spectroscopy has been consistently proposed as one of the most promising and non-destructive methods for qualitative quantitative analysis plant substances, because it can measure molecular structures in short time without requiring pretreatment along with simple usage. The sensitivity spectrum to target chemicals depends largely on wavelength, intensity laser power, exposure time. Especially samples, is very likely that peak material covered by strong fluorescence effects. Therefore, using lasers low energy causing less fluorescence, such 785 nm or near-infrared, are vigorously discussed. Furthermore, advanced techniques obtaining more sensitive clear spectra, like surface-enhanced spectroscopy, time-gated combination thin-layer chromatography, being investigated. Numerous interpretations be represented not only measurement conditions but also spectral methods. Up date, there have attempted optimize generalize This review summarizes state art micro-Raman assessment focusing secondary metabolites, from vitro vivo even situ, suggests future research achieve universal application.
Язык: Английский
Процитировано
15
International Journal of Robotics and Control Systems, Год журнала: 2023, Номер 3(3), С. 449 - 469
Опубликована: Июль 9, 2023
Electronic Nose (E-Nose) technology unlocks the fascinating world of electronic detection, identification, and analysis scents odors, paving way for innovative research promising applications. E-Nose mimics human sense smell has gained significant attention is applied in various fields, including food, health drug industries, safety crime, environmental agricultural sectors. This potential to improve quality control, medical diagnostics, hazardous material detection processes. The consists a combination gas sensors that mimic olfactory receptors nose. These detect respond different scent molecules, resulting unique response patterns can be interpreted analyzed. found application food industry assess quality, contamination, monitor fermentation In field, it been used disease diagnosis, monitoring patient health, detecting cancerous tissue. addition, security purposes, such as explosives prohibited substances, well identification counterfeit products. air assessment agriculture crops. Despite its potential, widespread adoption faces challenges related sensor sensitivity, data algorithms (complex interpretation), diversity, regulatory considerations, implementation complexity, cost. article reviews latest developments technology, explores applications future highlights need addressed. considered important because opens up with detection.
Язык: Английский
Процитировано
15
Agronomy, Год журнала: 2023, Номер 13(7), С. 1710 - 1710
Опубликована: Июнь 26, 2023
In citrus cultivation, it is a difficult task for farmers to classify different pests correctly and make proper decisions prevent damage. This work proposes an efficient modified lightweight transfer learning model which combines the effectiveness accuracy of pest characterization with mobile terminal counting. Firstly, we utilized typical feature extraction networks such as ResNet50, InceptionV3, VGG16, MobileNetV3, pre-trained single-shot multibox detector (SSD) network compare analyze classification efficiency each model. Then, further reduce amount calculations needed, miniaturized prediction convolution kernel at end added residual block 1 × predict category scores frame offsets. Finally, transplanted preferred SSD into terminals developed by us verify its usability. Compared other models, MobileNetV3+RPBM can enable achieve accurate detection Panonychus Citri Mcgregor Aphids, mean average precision (mAP) up 86.10% counting reaching 91.0% 89.0%, respectively. terms speed, latency low 185 ms. It was concluded that this novel MobileNetV3+RPBM+SSD effective classifying pests, be integrated devices are embedded rapid well in orchards. The presented herein help encourage farm managers judge degree damage correct regarding pesticide application orchard management.
Язык: Английский
Процитировано
14
Microchemical Journal, Год журнала: 2023, Номер 195, С. 109464 - 109464
Опубликована: Окт. 6, 2023
Язык: Английский
Процитировано
14
Smart Agricultural Technology, Год журнала: 2024, Номер 8, С. 100451 - 100451
Опубликована: Апрель 2, 2024
Electronic nose (EN) technology has several applications targeting various study areas, and food spoilage is one of these sections. This investigated the ability EN, with metal-oxide sensors (MOS), to sense presence Colletotrichum coccodes, which cause anthracnose fruit rots, on tomato distinguish between different stages doses infection. C. coccodes were identified by an appropriate polymerase chain reaction (PCR) program sequencing, using two primer sets: ITS1F/ITS4 Cc1F1/Cc2R1. Three intact homogeneous samples injected three concentrations conidial fungal suspension: 3×104, 3×105 3×106 conidia/ml, others kept as negative controls. Principal component analysis (PCA) was used in analyzing data acquired from EN sensors. The results PCA showed that able detect pathogen at early (two days infection before any symptoms appear). Moreover, differentiate stages. In addition, infected sixth, eighth tenth clearly differentiated. use a promising technique for determining quality assurance control.
Язык: Английский
Процитировано
6