Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Soil Productivity and Fertility Using Neuro-Fuzzy Logic Inference

Author : Dr.K.Renganathan 1 Vishnuvardhan J 2 Badhrivishal RPV 3 Venkatesh.K.D 4 DogiparthiManoj 5 Srinivas.R.S 6

Date of Publication :10th July 2019

Abstract: Soil nutrients testing methodologies are still a concern as most of them are time consuming and require laborious sampling which is expensive. Soil sensing stations installed in a precision agriculture farm can generate real time soil data online to keep on tracking about soil status such as macronutrients (NPK), temperature, moisture, humidity, flow and pH. These types of soil data can be analyzed with the respective sensor and feed through the microcontroller. The system utilizes an NODEMCU for data acquisition therefore the output from the transducer is converted into a digital display reading. Wireless sensor network is one of the key technologies for monitoring and regulating crop parameters towards efficient farming as it has been shown that the sensors provides indigenous platforms in various fields. The inference rules are framed using expert knowledge in the form of IF...THEN structures. Fuzzy logic tool in LabVIEW is used for building a prediction model. Neuro-Fuzzy model is used for the prediction of soil productivity.

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