What is it about?
Field peas are an important crop worldwide, providing a crucial source of nutrition. However, these crops can be affected by various leaf diseases, which reduce yield and quality. Identifying these diseases early is vital for protecting crops and ensuring food security. Our study aimed to proposed a deep learning model that can accurately identify different leaf diseases in field peas ,the model can learn to recognize patterns associated with specific diseases, helping farmers and researchers take timely actions.
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Why is it important?
Our model was able to accurately identify several common leaf diseases in field peas, such as ascochyta blight, powdery mildew, and leaf spots. This technology can help in early detection and better management of these diseases. By providing a reliable and quick method for diagnosing leaf diseases, our research can help farmers reduce crop losses and improve yields. This has significant implications for food security and the agricultural economy.
Perspectives
Overall, our deep learning model offers a promising tool for the agricultural sector to combat leaf diseases in field peas, leading to more sustainable and efficient farming practices. Field peas are a vital crop around the world, but they face threats from various leaf diseases, which can hurt yields and quality. Our research proposed a deep learning model to identify these diseases from images quickly and accurately. This method can help farmers and researchers detect problems early, allowing for better crop management and reduced losses. By making disease detection more efficient, we aim to support sustainable agriculture. In our research, we used a deep learning model to automatically identify these diseases in field peas. In general, we used a transfer Learning approach , specifically a model known as DenseNet121. Our model was trained on 1,600 images of healthy and diseased pea leaves, achieving high accuracy rates: 99.73% in training, 99.16% in validation, and 98.33% in testing.
Dagne Girmaw
Department of Information Technology, Haramaya University, Haramaya, Ethiopia
Read the Original
This page is a summary of: Field pea leaf disease classification using a deep learning approach, PLoS ONE, July 2024, PLOS,
DOI: 10.1371/journal.pone.0307747.
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