Many plant species have a startling degree of morphological similarity,making it difficult to split and categorize them reliably.Unknown plant species can be challenging to classify and segment using deep learning.Whi...Many plant species have a startling degree of morphological similarity,making it difficult to split and categorize them reliably.Unknown plant species can be challenging to classify and segment using deep learning.While using deep learning architectures has helped improve classification accuracy,the resulting models often need to be more flexible and require a large dataset to train.For the sake of taxonomy,this research proposes a hybrid method for categorizing guava,potato,and java plumleaves.Two new approaches are used to formthe hybridmodel suggested here.The guava,potato,and java plum plant species have been successfully segmented using the first model built on the MobileNetV2-UNET architecture.As a second model,we use a Plant Species Detection Stacking Ensemble Deep Learning Model(PSD-SE-DLM)to identify potatoes,java plums,and guava.The proposed models were trained using data collected in Punjab,Pakistan,consisting of images of healthy and sick leaves from guava,java plum,and potatoes.These datasets are known as PLSD and PLSSD.Accuracy levels of 99.84%and 96.38%were achieved for the suggested PSD-SE-DLM and MobileNetV2-UNET models,respectively.展开更多
Syzygium cumini(S.cumini)(L.) Skeels(jambolan) is one of the widely used medicinal plants in the treatment of various diseases in particular diabetes.The present review has been primed to describe the existing data on...Syzygium cumini(S.cumini)(L.) Skeels(jambolan) is one of the widely used medicinal plants in the treatment of various diseases in particular diabetes.The present review has been primed to describe the existing data on the information on botany,phytochemical constituents,traditional uses and pharmacological actions of 5.cumini(L.) Skeels(jambolan).Electronic database search was conducted with the search terms of Eugenia jambolana,S.cumini,jambolan,common plum and java plum.The plant has been viewed as an antidiabetic plant since it became commercially available several decades ago.During last four decades,numerous folk medicine and scientific reports on the antidiabetic effects of this plant have been cited in the literature.The plant is rich in compounds containing anthocyanins,glucoside,ellagic acid,isoquercetin,kaemferol and myrecetin.The seeds are claimed to contain alkaloid,jambosine,and glycoside jambolin or antimellin,which halts the diastalic conversion of starch into sugar.The vast number of literatures found in the database revealed that the extracts of different parts of jambolan showed significant pharmacological actions.We suggest that there is a need for further investigation to isolate active principles which confer the pharmacological action.Hence identification of such active compounds is useful for producing safer drugs in the treatment of various ailments including diabetes.展开更多
基金funding this work through the Research Group Program under the Grant Number:(R.G.P.2/382/44).
文摘Many plant species have a startling degree of morphological similarity,making it difficult to split and categorize them reliably.Unknown plant species can be challenging to classify and segment using deep learning.While using deep learning architectures has helped improve classification accuracy,the resulting models often need to be more flexible and require a large dataset to train.For the sake of taxonomy,this research proposes a hybrid method for categorizing guava,potato,and java plumleaves.Two new approaches are used to formthe hybridmodel suggested here.The guava,potato,and java plum plant species have been successfully segmented using the first model built on the MobileNetV2-UNET architecture.As a second model,we use a Plant Species Detection Stacking Ensemble Deep Learning Model(PSD-SE-DLM)to identify potatoes,java plums,and guava.The proposed models were trained using data collected in Punjab,Pakistan,consisting of images of healthy and sick leaves from guava,java plum,and potatoes.These datasets are known as PLSD and PLSSD.Accuracy levels of 99.84%and 96.38%were achieved for the suggested PSD-SE-DLM and MobileNetV2-UNET models,respectively.
基金fianancially supported by University Grants Commission,New Delhi[grant No.F.4-2/2006(BSR)/13-98/2008(BSR)]
文摘Syzygium cumini(S.cumini)(L.) Skeels(jambolan) is one of the widely used medicinal plants in the treatment of various diseases in particular diabetes.The present review has been primed to describe the existing data on the information on botany,phytochemical constituents,traditional uses and pharmacological actions of 5.cumini(L.) Skeels(jambolan).Electronic database search was conducted with the search terms of Eugenia jambolana,S.cumini,jambolan,common plum and java plum.The plant has been viewed as an antidiabetic plant since it became commercially available several decades ago.During last four decades,numerous folk medicine and scientific reports on the antidiabetic effects of this plant have been cited in the literature.The plant is rich in compounds containing anthocyanins,glucoside,ellagic acid,isoquercetin,kaemferol and myrecetin.The seeds are claimed to contain alkaloid,jambosine,and glycoside jambolin or antimellin,which halts the diastalic conversion of starch into sugar.The vast number of literatures found in the database revealed that the extracts of different parts of jambolan showed significant pharmacological actions.We suggest that there is a need for further investigation to isolate active principles which confer the pharmacological action.Hence identification of such active compounds is useful for producing safer drugs in the treatment of various ailments including diabetes.
