{"id":4590,"date":"2023-03-24T04:34:27","date_gmt":"2023-03-24T04:34:27","guid":{"rendered":"https:\/\/bahria.edu.pk\/coeai\/?p=4590"},"modified":"2023-03-28T03:53:46","modified_gmt":"2023-03-28T03:53:46","slug":"ai-based-pest-weed-detection-for-crop-health-monitoring","status":"publish","type":"post","link":"https:\/\/coeai.bahria.edu.pk\/index.php\/ai-based-pest-weed-detection-for-crop-health-monitoring\/","title":{"rendered":"Automated Insect Detection and Crop Health Monitoring, RAC-Nescom"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t

Automated Insect Detection and Crop Health Monitoring, RAC-Nescom<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t

Th<\/span>is project<\/span> is aimed at early prediction of Parkinson\u2019s disease through computerized analysis of online handwriting samples. While <\/span>a number of<\/span> clinical evaluations are carried out to diagnose the Parkinson\u2019s disease, most of these tests are effective only once the disease is at a relatively advanced stage. Studies have shown that analysis of handwriting can be used as a valuable tool for prediction of Parkinson\u2019s disease at very early stages. In the proposed research, we have employed raw signals captured by a digitizer tablet while attempting several writing and drawing templates, to compute various kinematic, temporal, and pen-based attributes. In addition to these online dynamic attributes, static offline visual features are also extracted using state-of-the-art Convolutional Neural Networks (CNNs). <\/span>The developed tools allow <\/span>practitioner<\/span>s<\/span> to collect handwriting and drawing samples of subjects<\/span> and<\/span> employ a combination of different types of features (online and offline) for the analysis and prediction.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t

Farmers are often unable to identify the pests\/diseases attacking their crops and hence require assistance. Assistance in the form of field agents may take days to reach the farmers and this delay may result in loss of time and hence affect the yield of the crop. In this project, we have developed a pest detection system that can detect and recognize the various types of pests in real-life complex scenarios using AI technique. Timely detection and recognition of insect pests in crops can facilitate the farmers in selection of the appropriate pesticides\/other chemical to be used based on the type and population of the pests. The farmer can take pictures of the pests\/disease using the application and the application can identify the pests for them and then present remedial measures to the farmer.<\/p>

Funding Body: <\/span><\/strong>RAC-Nescom<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t

Project Team<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tKey Researchers<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t
\n
    \n \t
  • Dr. Momina Moetesum<\/span><\/li>\n \t
  • Dr. Imran Siddiqi<\/span><\/li>\n<\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
    \n\t\t\t\t\t
    \n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tResearch Assistants<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t
    • Anam Bibi<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
      \n\t\t\t\t\t\t
      \n\t\t\t\t\t
      \n\t\t\t
      \n\t\t\t\t\t\t
      \n\t\t\t\t
      \n\t\t\t\t\t
      \n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
      \n\t\t\t\t
      \n\t\t\t

      Publications<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
      \n\t\t\t\t
      \n\t\t\t\t\t\t\t
      1. Moetesum, M., Diaz, M., Masroor, U., Siddiqi, I., & Vessio, G. (2022). A survey of visual and procedural handwriting analysis for neuropsychological assessment.\u202f<\/span>Neural Computing and Applications<\/span><\/i>, 1-18.<\/span><\/li>
      2. Diaz, M., Moetesum, M., Siddiqi, I., & Vessio, G. (2021). Sequence-based dynamic handwriting analysis for Parkinson\u2019s disease detection with one-dimensional convolutions and BiGRUs. Expert Systems with Applications, 168, 114405.<\/span><\/li>
      3. Moetesum, M., Siddiqi, I., Javed, F., & Masroor, U. (2020, September). Dynamic Handwriting Analysis for Parkinson’s Disease Identification using C-BiGRU Model. In\u202f<\/span>2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)<\/span><\/i>\u202f(pp. 115-120). IEEE.<\/span><\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t\t
        \n\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t\t
        \n\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t\t\t
        \n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t

        Project Demo<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
        \n\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t\t\t
        \n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t

        Project Demo<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
        \n\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

        This project is aimed at early prediction of Parkinson\u2019s disease through computerized analysis of online handwriting samples. While a number of clinical evaluations are carried out to diagnose the Parkinson\u2019s disease, most of these tests are effective only once the disease is at a relatively advanced stage. Studies have shown that analysis of handwriting can […]<\/p>\n","protected":false},"author":1,"featured_media":4591,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-4590","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects","entry","has-media"],"_links":{"self":[{"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/posts\/4590","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/comments?post=4590"}],"version-history":[{"count":8,"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/posts\/4590\/revisions"}],"predecessor-version":[{"id":4608,"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/posts\/4590\/revisions\/4608"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/media\/4591"}],"wp:attachment":[{"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/media?parent=4590"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/categories?post=4590"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/coeai.bahria.edu.pk\/index.php\/wp-json\/wp\/v2\/tags?post=4590"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}