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Abstract-Nnutrients in the soil are critical factors for crop health and both the quantity and quality of yield. Then, once crops are in the soil, monitoring the stages of growth is also essential to optimizing production efficiency. Now, traditionally soil quality and crop health were determined by human observation and judgment. But this method is neither accurate nor timely. Instead, we can now use drones (UAVs) to capture aerial image data, and train computer vision models to use this for intelligent monitoring of crop and soil conditions. Human observation in accurately identifying wheat growth stages, meaning that the farmers no longer had to make daily treks into the fields to examine their crop. Importance of soil, another study set out to see how well computer vision can characterize soil texture and soil organic matter (SOM).Ordinarily, evaluating soil requires farmers to dig up samples and bring them to a lab for time and energy-intensive analysis.
Keywords:
Artificial Intelligence
Cite Article:
"CROP AND SOIL MONITORING BY ARTIFICIAL INTELLIGENCE TECHNIQUE", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.91 - 93, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207014.pdf
Downloads:
000204915
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator