International Journal of Recent Trends in Engineering & Research

online ISSN

Supervised Knowledge Analytics Model for Optimal Crop Production

Publication Date : 01/09/2020

DOI : 10.23883/IJRTER.2020.6054.LSSVE


Author(s) :

PRATIK DUBEY , SHASHIKANT PANDAY.


Volume/Issue :
Volume 6
,
Issue 8
(09 - 2020)



Abstract :

Abstract India holds numerous variations in ecological and environmental conditions. It is rich in diversity. More than half of its population depends on agriculture for their livelihood. Due to large variations in environmental factors the difference in crop pattern can be seen easily. Due to variation in environmental factors, varieties of crops are there in India. There are more than 10 parameters associated with every crop. The crop related data generated throughout the year is quite large. It includes parameters such as soil type, N, P, K, soil PH, etc. Similarly, irrigation relate data is also necessary such as, rainfall, temperature, etc. Crop production can be increased in poor productivity area and better production can be seen in good productivity area. The Supervised Knowledge Analysis model is capable to extract knowledge from the raw data. The Supervised Knowledge Analysis model contains steps such as Problem objective, Data Gathering, Pre-processing, Model estimation or model design collaborated with other required technologies and interpretation and visualization. The last step includes the evaluation, validation of results. Final phase also includes the proper representation of results in order to better understand the recommendation. Supervised Knowledge Analytics Model for optimal crop production generates recommendation for current harvested crop as well as for future crop planning.


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