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20 October 2022 A deep-learning-based algorithm for detecting soil moisture
Yue Li
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Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124514B (2022) https://doi.org/10.1117/12.2657315
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
Food shortages are becoming a growing concern, especially in many developing countries where severe food shortages remain historical issues. Due to the limited arable land to rely on per capita, finding suitable soil and planting crops for farming can be a challenge for the farming industry. Accurate measurements of soil moisture are critical for crop growth and cultivation. In this paper, we developed a method to utilize artificial intelligence (AI) based technology to enable effective and accurate estimates of soil moisture. The deep learning algorithm is implemented as an advanced AI technique to discover distributed feature representations of data by combining lower-level features to form more abstract higherlevel representations of attribute classes or features. This method also has the potential to be applied to flower gardening, where the soil moisture can be controlled effectively for flower and plant growth.
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Yue Li "A deep-learning-based algorithm for detecting soil moisture", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124514B (20 October 2022); https://doi.org/10.1117/12.2657315
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KEYWORDS
Soil science
Convolutional neural networks
Agriculture
Artificial intelligence
Neural networks
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