PlantVillage Nuru: Pest and disease monitoring using AI by | Nov 10, 2020 Edit digital intervention Digital Intervention Title Digital Intervention Excerpt Nuru is a mobile AI assistant that works inside a standard smartphone and is capable of accurately diagnosing cassava diseases offline, without an internet connection. Description Visual Text File Edit View Insert Format Tools Table Paragraph HashBarTimes New Roman 12pt PlantVillage has created Nuru, an AI assistant for farmers. Nuru has three components to its artificial intelligence: 1) human expert level crop disease diagnostics using computer vision; 2) above human capabilities in anomaly detection and forecasting based on ground and satellite derived data; and 3) human language comprehension and automated responses to questions posed by farmers. Our AI works with extension services, governments and the UN. Featured Image Types of Digital Intervention Decision support agriculture Digital advisory Digital analytics and modelling Digital disease monitoring and control Digital Financial Services Digital mechanization Farm management software Market systems Remote sensing Robotics Food system components Aggregation Consumption Distribution Policy Processing Production Food system activities Agricultural extension Agricultural subsidy provision Animal disease management Climate change Crop diseases management Crop production Farm inputs Finance Genetic resources Labor force Livestock production Natural resource management Nutrition information Packaging Post-harvest management Regulation and standards Scientific knowledge Tractor services provision Trade and market information Transport Urbanization Waste management Primary users Extension agents Farmers Financial institutions Government ministries Researchers Traders Intervention inception number of users Intervention current number of users Country/ies of implementation Afghanistan Bangladesh Bolivia Burkina Faso Benin Cameroon China Colombia Costa Rica Côte d’Ivoire El Salvador Ethiopia Ghana Grenada Guatemala Haiti Honduras India Indonesia Italy Jamaica Kenya Malaysia Mali Malawi Mexico Mongolia Mozambique Myanmar Nepal Nicaragua Niger Nigeria Pakistan Peru Philippines Rwanda Senegal Sierra Leone South Africa South Sudan Sri Lanka Tanzania Thailand Trinidad and Tobago Tunisia Turkey Uganda United States of America Vietnam Zambia Zimbabwe Region(s) of implementation Africa Asia / Pacific Europe and Central Asia Latin America and the Caribbean Middle East North America Geolocation Address We could not connect to the Google Maps autocomplete service, but you can add an address manually. Address Address Add new Evidence of Impact Evidence narrative Visual Text File Edit View Insert Format Tools Table Paragraph HashBarTimes New Roman 12pt Nuru was, on average, twice as accurate as the extension workers she was tested against. Nuru AI has been downloaded by users from all continents and widely used in Africa and South East Asia by the end of June 2018. One farmer invented a novel use for the tool by using it to diagnose healthy cassava crops. By determining which crops were healthy, she was able to propagate cuttings from those plants and plant a 1 acre field of clean cassava. From this clean field (3,053 plants), at the time of harvest only 1.13% of the plants had CBSD and/or CMD. This farmer was able to increase her revenue by 55% and yields by 146% from one season of clean seeds and Nuru. Intervention evidence of economic impact Increased volume of sales Increased yield Increased market access Increased access to credit Increased transaction cost Increased production cost Decreased market access Reduced transaction cost Reduced production cost Received higher product prices Decreased volume of sales I do not know Decreased yield None of the above Intervention evidence of environmental impact Increased efficiency in agro chemical use Increased resilience to climate shocks Increased access to weather information Increased access to agricultural information services in real time Decreased efficiency of agro chemical use Decreased resilience to climate shocks Decreased access to weather information I do not know Decreased access to agricultural information services in real time None of the above Intervention evidence of social impact Increased women participation Decreased women participation Increased youth participation Decreased participation of minority group Improved social capital Increased economic mobility Enhanced social inclusion I do not know Improved social equity None of the above Enhanced social well being Intervention evidence of technical impact Increased technology adoption Improved information dissemination Increased labor demand Increased the need for agricultural extension agents Better support for extension agents Reduced the need for agricultural extension agents Decreased labor demand Displacement of on-farm labor I do not know None of the above Intervention quantitative impact Increased efficiency by 0-25% Increased efficiency by 26-50% Increased efficiency by 51-75% Increased efficiency by 76-100% Decreased efficiency by 0-25% Decreased efficiency by 26-50% Decreased efficiency by 51-75% Decreased efficiency by 76-100% Additional Information Enter URL Add new Submit Intervention File Add new Contact details First Name Last Name Email
