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A review of neural networks in plant disease detection using hyperspectral data

Information Processing in Agriculture 2018年第3期5卷 354-371页

作者： Kamlesh Golhani Siva K.Balasundram ganesan vadamalai Biswajeet Pradhan Department of Agriculture Technology Faculty of AgricultureUniversiti Putra Malaysia43400 SerdangSelangorMalaysia Department of Plant Protection Faculty of AgricultureUniversiti Putra Malaysia43400 SerdangSelangorMalaysia School of Systems Management and LeadershipFaculty of Engineering and ITUniversity of Technology SydneyBroadwayNSW 2007Australia

This paper reviews advanced Neural Network(NN)techniques available to process hyperspectral data,with a special emphasis on plant disease ***,we provide a review on NN mechanism,types,models,and classifiers that use different algorithms to process hyperspectral *** we highlight the current state of imaging and nonimaging hyperspectral data for early disease *** hybridization of NNhyperspectral approach has emerged as a powerful tool for disease detection and *** Disease Index(SDI)is the ratio of different spectral bands of pure disease ***,we introduce NN techniques for rapid development of *** also highlight current challenges and future trends of hyperspectral data.

关键词： spectral neural networks

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Pomelo,a resistance variety to Citrus tristeza virus in peninsular Malaysia

Pomelo,a resistance variety to Citrus tristeza virus in peni...

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International Conference on Biotechnology and Food Science（ICBFS 2011）

作者： Kavous Ayazpour Kamaruzaman Sijam ganesan vadamalai Hawa Jaafar Plant Protection Department University Putra Malaysia Serdang Malaysia

Citrus tristeza virus（CTV）is the most important viral disease of Citrus and is distributed *** of ELISA and PCR methods showed that all Citrus varieties including Fortunella sp.,Citrofortunella microcarpa and Citromelo in major citrus growing areas of Malaysia were infected with CTV in a high *** most areas,pomelo however was free of infection,but in Cameron Highlands,we found some strains of CTV that were severe to Citromelo and *** studies revealed that these strains were familiar to CTV isolates from China and Japan and were very differ from CTV isolates of USA and New Zealand.

关键词： Citrus tristeza virus Phylogeny analysis Strain CP gene Malaysia

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Estimation of red tip disease severity in pineapple using a non-contact sensor approach

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Agricultural Sciences 2013年第4期4卷 206-208页

作者： Siva Kumar Balasundram Faizah Abu Kassim ganesan vadamalai Ahmad Husni Mohd Hanif Department of Agriculture Technology Faculty of Agriculture Universiti Putra Malaysia Serdang Malaysia Department of Land Management Faculty of Agriculture Universiti Putra Malaysia Serdang Malaysia Department of Plant Protection Faculty of Agriculture Universiti Putra Malaysia Serdang Malaysia

Red tip disease on pineapple (Ananas comosus) was first recognized about 20 years ago in a commercial pineapple stand located in Simpang Renggam, Johor, Peninsular Malaysia. Since its discovery, there has been no confirmation on the causal agent of red tip disease. The epidemiology of red tip disease is still not fully understood. However, based on disease symptoms and field transmission mode, red tip disease seems to be strongly associated with viral infection. The aim of this work was to assess the feasibility of using an optical sensor to estimate red tip disease severity. This work was performed in a commercial pineapple plantation located in Simpang Renggam, Johor. Four observation plots bearing pineapple variety SR36 were demarcated based on crop growth stage. Each plot comprised a total of eighty corresponding measurements of percent Disease Severity (% DS) and Normalized Difference Vegetation Index (NDVI). Our data showed a strong correlation between % DS and NDVI. The 7- and 11-month plantings registered a correlation coefficient (r) of -0.83 and -0.88, respectively. The negative correlation infers that NDVI increases when disease severity is low. This is expected since healthy leaves reflect more near-infrared light and less visible light which results in a higher NDVI. The regression of NDVI on % DS for the 7-month planting was explained by: % DS = 181.6 - 185.6*NDVI. Meanwhile, the regression of NDVI on % DS for the 11-month planting was explained by: % DS = 213.2 - 219.8*NDVI. The linear fit between measured % DS and estimated % DS from the 7-month and 11-month plantings was relatively strong. This work has demonstrated that NDVI is a reliable predictor of % DS in pineapple.

关键词： Pineapple Red Tip Disease Optical Sensor

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