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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Authors
Nupur Balasaheb Autade,Sunita V Mahale,Shivprasad Bharat Vishwanathwar,Vivek walmik pathade
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Keywords
KERNEL DENSITY ESTIMATION, NPK SENSOR, PRECISION FARMING.
Abstract
Soil fertility is an important factor in assessing the quality of the soil since it shows how well the soil can support plant growth in
agriculture.The quantity of nutrients in the soil can be quickly determined by using an Arduino board equipped with a soil sensor.
The nutrient content of the soil can be quickly determined with an ESP32 equipped with a soil sensor. It is widely accepted that
nitrogen, phosphorous, and potassium are essential constituents of nutrient sources.These elements should be measured to determine
how much more nutrient content needs to be added to the soil to increase crop fertility.Soil fertility can be established through NPK
sensors. By examining data on soil nutrient concentrations, we may determine whether the soil used to support plant production is
rich in nutrients or lacking in them. There are several approaches to use a mass spectrogram or sensing element to find out how
many nutrients are in the soil samples.However, with data only 60-70% genuine, the spectrum analysis approach is laborious.Due
to a scarcity of data, a detailed comparison between the spectrum analysis approach and conventional wet chemistry procedures is
required to ascertain the accuracy of the products. To detect soil nitrogen, phosphorus, and potassium, a soil NPK sensor should be
used. Along with the application of a cheap, quick, straightforward, elevated, and portable soil NPK sensor. The plus side over a
traditional detection method is the extremely short observation times required to gather exact data.This study compares and utilises
different soil nutrient levels using machine learning and the kernel density estimation algorithm. One advising technological
advancement that provides rational and sensible answers to the transformation taking place in many industries is the Internet of
Things (IOT).Numerous research surveys and evaluations have been conducted, and a variety of methods have been used to apply
IOT technology in agronomical fields.When it comes to quickly detecting plant health issues so that appropriate action may be
taken, IOT can be very useful. It's a significant development in smart agriculture.Within this manuscript, we introduce a
methodology for creating an automated framework capable of detecting crop damage in its early stages, which remain undetectable
to the unaided eye. This method helps to prevent large losses in addition to saving a tonne of time and labour.The proposed method
builds a recognition framework using soil-based detection devices, such as nitrogen, potassium, and phosphorus derived from plants.
Sensor data is sent to the Arduino Cloud, which evaluates it and helps identify plant damage. In the years to come, the smart farming
system will rely heavily on the internet of things.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A3253
Paper ID - 254788
Author type - Indian Author
Page Number(s) - k628-k635
Pubished in - Volume 12 | Issue 3 | March 2024
DOI (Digital Object Identifier) -
No Of Downloads - 32
Author Country - India, 423605, Pohegon , Pohegon , 423605, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT24A3253
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Nupur Balasaheb Autade,Sunita V Mahale,Shivprasad Bharat Vishwanathwar,Vivek walmik pathade, "Prediction of nutrients (N.P.k) in soil using IOT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.k628-k635, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A3253.pdf
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