• Automatic Plant Disease Detection, Classification and Management

  • NREN PROJECT

    Automatic Plant Disease Detection, Classification and Management
    Read More

  • NREN PROJECT

    Automatic Plant Disease Detection, Classification and Management
    Read More

  • NREN PROJECT

    Automatic Plant Disease Detection, Classification and Management
    Read More

  • NREN PROJECT

    Automatic Plant Disease Detection, Classification and Management
    Read More

  • NREN PROJECT

    Automatic Plant Disease Detection, Classification and Management
    Read More

Objectives

NREN INFRASTRUCTURE AND FACILITIES

To introduce the NREN infrastructure and facilities for the farmers through website-based system in the countries connected with Asi@connect.

INFORMATION ON AGRICULTURAL DISEASE

To carry out the survey for qualitative information on agricultural disease management in six countries including Afghanistan (AF), Cambodia (KH), Laos (LA), Philippines (PH) and Bangladesh (BD).

DEVELOP SOFTWARE

To develop software for automatic plant disease detection and classification using ANN, advanced image processing and the IoT based cloud server of NREN system.

APPLY ADVANCE IMAGE PROCESSING FEATURES

To apply advance image processing features with filtering and wavelet de-noising for plant disease detection and classification of main crops including rice, jute, wheat, soybean and maize in Asia.

ESTABLISH THE REAL TIME MONITORING TECHNIQUE

To establish the real time monitoring technique to manage the plant disease in the field through IoT based facilities of NREN networking

DEVELOP THE EARLY WARNING SYSTEM

To develop the early warning system of plant health using ANN model with the NREN system.

ANALYZE AND SHARE DISEASE DATA

To analyze and share disease data passing smoothly through all the stages of collection, recording, transfer, digitisation, harmonisation, validation, analysis and sharing through cloud server.

ASSESS THE PLANT HEALTH RISK

To assess the plant health risk with identification of the physiological changes of plant due to the pathogen impacts.

Project Introduction

Research on agricultural pathological diseases of main crop of five countries in Asi@connect including Afghanistan (AF), Cambodia (KH), Laos (LA), Philippines (PH) and Bangladesh (BD) of Asia. Training and Focus Group Discussion and in-depth interview will be conducted with the farmers, research specialists (Especially pathological expert) of the agricultural research council of these countries for plant disease detection and classification through NREN services.
Online Survey Form

Activity Schedule

Disease Detection

Disease Detection
04 Nov, 2020 in PSTU
Technique of disease detection and management with image processing and IOT base...
ANN based model development

ANN based model development
03 Nov, 2020 in Barishal, Bangladesh
ANN model will be developed considering soil different properties, physiological...
Professor Dr. S.M. Taohidul Islam

Professor Dr. S.M. Taohidul Islam

Patent and Trademark • Patent filing and trademark on his Software of Geo-SW@T™ version 1.01: Trademark: No. 09008357, Class 42; No. 09008358, Class 9. Patent: PI. 2010002731 . Research Publication Google Citation Report (Since 2012): Citations: 117; h-index: 6; i-10 index: 6 • Published 21 research articles in ISI and SCOPUS indexed journals (Including Elsevier, Springer Link, Willey Publisher Journal with impact factor). • Articles have been presented in the international conferences in USA, UK, Germany, Turkey, Malaysia and China. Research Award • Malaysian research award (Gold Medal, Best Award & Special Award) for the research on landslides possibility findings with seismic signal. • European Research Award (Silver Medal)

Professor Dr. S.M. Taohidul Islam

Professor Dr. S.M. Taohidul Islam

Research Project • PI: “Agricultural Imaging System for Rice and Mungbean Disease Detection and Management in Agro-Field” funding under CRG of PIU-BARC, NATP-2 • PI: “Flood Management through Mesh Networking at Coastal Agricultural Field of Bangladesh” funded by Patuakhali Science and Technology University • PI: “The Real-time Monitoring of Rainfall and River Level in Water Management through Wireless Sensor Networking” funded by Patuakhali Science and Technology University • PI: “Automatic Plant Disease Detection, Classification and Management” funded by Asia@Connect • PI: “Survey on Asia@connect capacity development and NREN uses analysis with future planning and recommendation” funded by Asia@Connect • Co-PI: “Training on Cyber Security for Networking Professionals” funded by Asia@Connect • Co-PI: “Hands on Training on Fundamental Web and Application Security Issues for NREN Professionals” funded by Asia@Connect • PI: “ANN Based Technique for Artificially Ripened Mangoes Detection through Image Processing” funded by MINISTRY OF SCIENCE AND TECHNOLOGY • PI: “An IOT Based Soil Nutrient Management for Watermelon Cultivation un Coastal Agricultural Field” Accepted by University Grants Commission of Bangladesh

Professor Dr. S.M. Taohidul Islam

Professor Dr. S.M. Taohidul Islam

Affiliation • Professor and Chairman of Electrical and Electronics Department in the faculty of Computer Science and Engineering of Patuakhali Science and Technology University (PSTU). • Convener, Internet Committee, PSTU • Focal Point, Advanced Computing Lab, PSTU MS and PhD • PhD on the topics of soil electric resistivity and seismic signal analysis for soil properties investigationsfrom University Kebangsaan, Malaysia. • Masters by Research degree on surface wave analysis from University Kebangsaan, Malaysia as a full time research assistant.

BENEFICIARY COUNTRIES

  • Japan

    • Japan

  • Combodia

    • Combodia

  • Afghanistan

    • Afghanistan

  • Bhutan

    • Bhutan

  • Australia

    • Australia

  • Bangladesh

    • Bangladesh