The mainstay of India’s economy is agriculture, and agriculture still provides the majority of rural households with their primary source of income. Although agriculture is becoming increasingly important, the industry is still lagging in terms of technical development. The main causes of this situation are crop failure due to unfavourable weather and unmanaged pest problems. Surveys must be conducted on a regular basis to monitor the soil’s health and the crop that has been planted. Manually, this might take days, and even then, a person might make a mistake. Drones can finish the same job in a short period. Data on the state of the crop and the soil can be gathered by drones using infrared mapping. Instead of traditional methods, agri-drones can quickly spray chemicals on crops because they have reservoirs that can be refilled with fertilizers and insecticides. As a result, precision farming may enter a new era thanks to drone technology. Pests and plant diseases significantly influence the yield and quality of plants. The proposed approach uses a drone to monitor crop health, identify plant diseases, and spray pesticides. Crop health monitoring is done by using sensors to continuously detect changing environmental conditions, including temperature, humidity, precipitation, and soil quality. The plant diseases can be identified by using a camera in which various leaves are captured to know the condition of the plant disease. The subsequent steps in identifying plant diseases are dataset creation, feature extraction, classifier training, and classification. The datasets of sick and healthy leaves are created, and an Artificial Intelligence (AI) method is used to train them. Based on the disease's severity and the percentage of pesticides that should be sprayed in the fields, the drone can spray pesticides in the infected plant area. Initially, the work was carried out for small land fields and later, it can be implemented for the larger field through big data analytics.


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    Titel :

    Artificial Intelligence Based Drones for Plant Disease Detection


    Weitere Titelangaben:

    Transactions on Computer Systems & Networks


    Beteiligte:
    Karthikeyan, P. (Herausgeber:in) / Kumar, Sathish (Herausgeber:in) / Anbarasu, V. (Herausgeber:in) / Srinivasan, K. (Autor:in) / Rukkumani, V. (Autor:in) / Mathan, C. (Autor:in) / Anitha, T. (Autor:in)


    Erscheinungsdatum :

    27.09.2023


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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