{"id":13442,"date":"2026-06-20T12:27:45","date_gmt":"2026-06-20T12:27:45","guid":{"rendered":"https:\/\/dev.iita.org\/news-item\/african-farmers-get-new-help-against-cassava-diseases-nuru-their-artificially-intelligent-assistant\/"},"modified":"2026-06-29T21:38:59","modified_gmt":"2026-06-29T21:38:59","slug":"african-farmers-get-new-help-against-cassava-diseases-nuru-their-artificially-intelligent-assistant","status":"publish","type":"news-item","link":"https:\/\/iita.org\/fr\/news-item\/african-farmers-get-new-help-against-cassava-diseases-nuru-their-artificially-intelligent-assistant\/","title":{"rendered":"African farmers get new help against cassava diseases: Nuru, their artificially intelligent assistant"},"content":{"rendered":"<p class=\"wp-block-paragraph\">The International Institute of Tropical Agriculture (<a href=\"https:\/\/iita.org\/fr\/\">IITA<\/a>)  and Pennsylvania State University, USA, have collaborated to develop  and launch <em>Nuru<\/em>, an Artificially Intelligent Assistant. <em>Nuru <\/em>(Swahili for light) uses machine learning to accurately recognize leaves damaged by two important viral diseases of cassava (Cassava Mosaic Disease  and Cassava Brown Streak Disease) as well as damage by red  and green mites.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><figure id=\"attachment_16935\" aria-describedby=\"caption-attachment-16935\" style=\"width: 660px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/www.iita.org\/wp-content\/uploads\/2018\/06\/1024_phone_image.jpg\"><img fetchpriority=\"high\" decoding=\"async\" class=\"size-large wp-image-16935\" src=\"https:\/\/iita.org\/wp-content\/uploads\/2026\/06\/1024_phone_image-1024x686.jpg\" alt=\"\" width=\"660\" height=\"442\" \/><\/a><figcaption id=\"caption-attachment-16935\" class=\"wp-caption-text\">The app is being field tested in Tanzania. Photo: IITA<\/figcaption><\/figure><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Viral diseases are a major problem in cassava production in Africa  and reduce the yields that farmers can achieve.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cIt\u2019s hard for farmers to get information about their cassava crops,  and particularly difficult to get identifications for virus diseases. <em>Nuru<\/em> can help to overcome both of these challenges as both information about cassava diseases  and the capability to diagnose them can be accessed by any farmer or extension officer with a smartphone,\u201d said <a href=\"https:\/\/iita.org\/fr\/iita-staff\/legg-james\/\">James Legg<\/a>, IITA plant health specialist who leads the research on cassava diseases in IITA.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Nuru <\/em>uses a convolutional neural network to analyze visual imagery  and runs inside a st andard Android phone offline. The tool is available in PlantVillage <a href=\"https:\/\/plantvillage.psu.edu\/\">https:\/\/plantvillage.psu.edu\/<\/a> \u00e0 <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=plantvillage.nuru\">https:\/\/play.google.com\/store\/apps\/details?id=plantvillage.nuru<\/a>. It is a free app built at Penn State with support from the CGIAR INSPIRE Prize of the BigData Platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The app can also diagnose the damage of the devastating invasive caterpillar pest\u2013fall armyworm (FAW) on maize which is helpful as farmers often grow maize  and cassava together.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">She can speak Swahili, French, English  and Twi  and is learning new languages all the time. <em>Nuru <\/em>will also help farmers to scout their fields to work out how many plants are affected. She will automatically calculate the incidence of cassava diseases in the fields visited.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In addition, farmers can upload images of any crops to the cloud where a more powerful network works alongside humans to provide a rapid diagnosis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The data collected will be aggregated from across the African continent into a database to better underst and the epidemiology of cassava virus diseases. This will greatly help decision-makers to target resources more effectively.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Although <em>Nuru\u2019s<\/em> cassava AI has been developed with IITA in Africa, collaboration with the International Centre for Tropical Agriculture (CIAT) will allow it to be adapted to monitoring the rapidly spreading p andemic of CMD in Southeast Asia. IITA, CIAT  and other CGIAR centers work together under the framework of the CGIAR Research Program on Roots, Tubers  and Bananas (<a href=\"http:\/\/www.rtb.cgiar.org\/\">RTB<\/a>).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Nuru <\/em>works offline, which is important where connection to the internet is not possible. When the user is connected to wifi the information flows into the dashboard platforms. <em>Nuru <\/em>also offers advice offline in the field  and provides a way for farmers to connect, chat  and share advice so that they can collectively find solutions to some of their most damaging pest  and disease problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cAn important feature is that it is offline\u2013the farmer can use it as much as they want to examine their field for damage. <em>Nuru <\/em>is an extension officer that is always there for farmers, in their fields.\u201d\u00a0 said <a href=\"https:\/\/ento.psu.edu\/directory\/dph14\">David Hughes<\/a>, a professor of Entomology  and Biology at Penn State, which led the development of the app together with IITA.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Helping farmers  and decision-makers take\u00a0appropriate\u00a0action<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Once farmers  and workers check their crops for infections  and upload the required data, <em>Nuru<\/em> gives advice so that the farmers can take action to manage the situation. Work by IITA has shown the importance of phytosanitaton measures where farmers use recommended practices such as planting virus-free material  and resistant varieties.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data will be validated by Africa-based focal points  and transferred to a global web-based platform. It will then be analyzed to give a real-time overview of the situation with maps of cassava infection  and measures that were most effective in reducing the losses that farmers experience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The mapping is especially important to track the spread of Cassava Brown Streak which is considered a major threat to cassava production in West Africa.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>The International Institute of Tropical Agriculture (IITA) and Pennsylvania State University, USA, have collaborated to develop and launch Nuru, an 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