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              <text>Genome analysis for precision agriculture using artificial intelligence: a survey</text>
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              <text>Artificial intelligence (AI); DNA and RNA sequencing; Genome analysis; K-Nearest neighbor; Next-generation sequencing (NGS); Precision agriculture (PA); Random forest; Sequence analysis; Transcriptomics</text>
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              <text>Precision agriculture is a farm management technique which uses the help with the help of information technology to ensure that the crops and soil receive exactly what is required for optimum health and productivity. Genome analysis in plants helps to identify the plant structure and physiological traits. The identification of the right plant genome and the resulting traits help to optimize the cultivation of the plant for better productivity and adaptability. Genome analysis helps the biologist edit the plant genetic makeup structure to make the plant to adapt to the current conditions and thereby reducing the use of fertilizers. For precision agriculture, artificial intelligence techniques help to understand the relationships between plant genome and soil nutrient conditions that help in precision farming effectively reducing the usage of fertilizers by modifying the plants to adapt with the current soil characteristics.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.</text>
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              <text>Joseph A.; Chandra J.; Siddharthan S.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-132, pp. 221-226.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-15-5309-7_23" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-15-5309-7_23&lt;/a&gt;
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              <text>ISSN: 23673370</text>
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              <text>Joseph A., CHRIST (Deemed to Be University), Bangalore, India; Chandra J., CHRIST (Deemed to Be University), Bangalore, India; Siddharthan S., CHRIST (Deemed to Be University), Bangalore, India</text>
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