AI-driven soil analysis and crop recommendation system Article Swipe
Anita Shetty
,
Dattaguru V. Kamath
,
J. A. S. Rodrigues
,
S.F. D’Souza
,
Mary Ann George
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.30574/wjaets.2025.15.2.0739
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.30574/wjaets.2025.15.2.0739
This research introduces an innovative IoT-enabled Soil Analysis and Crop Recommendation System, aimed at transforming agricultural decision-making through the integration of advanced sensor technologies, cloud platforms, and machine learning techniques. Devices such as DHT11 sensor for temperature and humidity, alongside NPK nutrient and pH sensors, gather critical soil and environmental data. The ESP8266 microcontroller, in conjunction with the Blynk IoT platform, facilitates real-time data transmission and analysis, giving farmers useful information on climate and soil health. At the base of this system is a Random Forest Classifier that decides which crops to recommend based on NPK levels, pH, humidity, temperature, and rainfall for a particular set of environmental conditions. A multi-factor recommendation algorithm further refines these predictions by including soil nutrient profiles, pH measurements, temperature variation, and localized climate data for even more accurate crop recommendations. Experimental validation in several sites of agriculture was shown with 98% accuracy on crop selection. IoT and AI technologies will thus become the new future for farming practices. This system helps the farmer to use the resources much more efficiently and decrease the input cost with improved yield
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- OA Status
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4410864838Canonical identifier for this work in OpenAlex
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https://doi.org/10.30574/wjaets.2025.15.2.0739Digital Object Identifier
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AI-driven soil analysis and crop recommendation systemWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-05-29Full publication date if available
- Authors
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Anita Shetty, Dattaguru V. Kamath, J. A. S. Rodrigues, S.F. D’Souza, Mary Ann GeorgeList of authors in order
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https://doi.org/10.30574/wjaets.2025.15.2.0739Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.30574/wjaets.2025.15.2.0739Direct OA link when available
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Crop, Environmental science, Agroforestry, Agricultural engineering, Geography, Forestry, EngineeringTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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