Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this...Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this study,a lightweight object detection model will be developed that can detect mango plant conditions based on disease potential,so that it becomes an early detection warning system that has an impact on increasing agricultural productivity.The proposed lightweight model integrates YOLOv7-Tiny and the proposed modules,namely the C2S module.The C2S module consists of three sub-modules such as the convolutional block attention module(CBAM),the coordinate attention(CA)module,and the squeeze-and-excitation(SE)module.The dataset is constructed by eight classes,including seven classes of disease conditions and one class of health conditions.The experimental result shows that the proposed lightweight model has the optimal results,which increase by 13.15% of mAP50 compared to the original model YOLOv7-Tiny.While the mAP50:95 also achieved the highest results compared to other models,including YOLOv3-Tiny,YOLOv4-Tiny,YOLOv5,and YOLOv7-Tiny.The advantage of the proposed lightweightmodel is the adaptability that supports it in constrained environments,such as edge computing systems.This proposedmodel can support a robust,precise,and convenient precision agriculture system for the user.展开更多
仙人掌X病毒(cactuSviruSX,CVX)严重威胁世界火龙果产业的发展。为实现对该病毒的定量检测,本研究根据CVX外壳蛋白(CP)的保守序列设计特异性引物CVX-F/-R,建立了引物浓度150 nmol/L,退火温度62℃的SYBR Green I实时荧光定量PCR检测方法...仙人掌X病毒(cactuSviruSX,CVX)严重威胁世界火龙果产业的发展。为实现对该病毒的定量检测,本研究根据CVX外壳蛋白(CP)的保守序列设计特异性引物CVX-F/-R,建立了引物浓度150 nmol/L,退火温度62℃的SYBR Green I实时荧光定量PCR检测方法。该引物扩增效率为97.38%,R^(2)为0.9965,对标准品的检测极限浓度为8×10^(2)拷贝/μL,其灵敏度是普通PCR的100倍。对火龙果不同组织中CVX的相对表达量进行检测发现,病毒在花丝中的含量最高,之后依次为花萼、花瓣、嫩枝、老枝和根。对采自贵州黔南州的40份火龙果样品进行检测,共检测出32份阳性样品。上述结果表明,本研究建立的实时荧光定量PCR特异性强、灵敏度高,为今后CVX的检测提供了重要的技术补充。展开更多
基金supported by National Science and Technology Council(NSTC)Taiwan,Grant No.NSTC 113-2221-E-167-023.
文摘Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this study,a lightweight object detection model will be developed that can detect mango plant conditions based on disease potential,so that it becomes an early detection warning system that has an impact on increasing agricultural productivity.The proposed lightweight model integrates YOLOv7-Tiny and the proposed modules,namely the C2S module.The C2S module consists of three sub-modules such as the convolutional block attention module(CBAM),the coordinate attention(CA)module,and the squeeze-and-excitation(SE)module.The dataset is constructed by eight classes,including seven classes of disease conditions and one class of health conditions.The experimental result shows that the proposed lightweight model has the optimal results,which increase by 13.15% of mAP50 compared to the original model YOLOv7-Tiny.While the mAP50:95 also achieved the highest results compared to other models,including YOLOv3-Tiny,YOLOv4-Tiny,YOLOv5,and YOLOv7-Tiny.The advantage of the proposed lightweightmodel is the adaptability that supports it in constrained environments,such as edge computing systems.This proposedmodel can support a robust,precise,and convenient precision agriculture system for the user.
文摘仙人掌X病毒(cactuSviruSX,CVX)严重威胁世界火龙果产业的发展。为实现对该病毒的定量检测,本研究根据CVX外壳蛋白(CP)的保守序列设计特异性引物CVX-F/-R,建立了引物浓度150 nmol/L,退火温度62℃的SYBR Green I实时荧光定量PCR检测方法。该引物扩增效率为97.38%,R^(2)为0.9965,对标准品的检测极限浓度为8×10^(2)拷贝/μL,其灵敏度是普通PCR的100倍。对火龙果不同组织中CVX的相对表达量进行检测发现,病毒在花丝中的含量最高,之后依次为花萼、花瓣、嫩枝、老枝和根。对采自贵州黔南州的40份火龙果样品进行检测,共检测出32份阳性样品。上述结果表明,本研究建立的实时荧光定量PCR特异性强、灵敏度高,为今后CVX的检测提供了重要的技术补充。
