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Title: :  CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING
PaperId: :  23441
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23441
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
V SAIRAJBMS INSTITUTE OF TECHNOLOGY & MANAGEMENT
SAMUDRALA VENKATA SAI TANISHBMS INSTITUTE OF TECHNOLOGY & MANAGEMENT
VS VENKATESHBMS INSTITUTE OF TECHNOLOGY & MANAGEMENT
RISHITHA PANYAMBMS INSTITUTE OF TECHNOLOGY & MANAGEMENT

Abstract

Computer Science
Machine Learning algorithms, recommendations, predictions
Agriculture is the foundation of many countries' economies, particularly in India. The young generation who are new to farming may confront the challenge of not understanding what to sow and what to reap benefit from. This is a problem that has to be addressed, and it is one that we are addressing. Predicting the proper crop and production will aid in making better decisions, reducing losses and managing the risk of price fluctuations. The existing system is not deployed, unlike ours, which is done by applying classification and regression algorithms to calculate crop type recommendations and yield predictions. Agricultural industries must use machine learning algorithms to anticipate the crop from a given dataset. The supervised machine learning technique is used to analyse a dataset in order to capture information from multiple sources, such as variable identification, uni-variate analysis, bi-variate and multi-variate analysis, missing value treatments, and so on. A comparison of machine learning algorithms was conducted in order to identify which algorithm was more accurate in predicting the best harvest. The results show that the proposed machine learning algorithm technique has the best accuracy when comparing entropy calculation, precision, Recall, F1 Score, Sensitivity, Specificity, and Entropy.

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IJARIIE V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM. "CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 4677-4682
MLA V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM. "CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 4677-4682.
APA V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, & RISHITHA PANYAM. (2024). CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 4677-4682.
Chicago V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM. "CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 4677-4682.
Oxford V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM. 'CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 4677-4682. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/CROP_YIELD_PREDICTION_AND_REMEDIES_RECOMMENDATION_USING_VARIOUS_FEATURE_SELECTION_TECHNIQUES_IN_MACHINE_LEARNING_ijariie23441.pdf (Accessed : ).
Harvard V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM. (2024) 'CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 4677-4682IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/CROP_YIELD_PREDICTION_AND_REMEDIES_RECOMMENDATION_USING_VARIOUS_FEATURE_SELECTION_TECHNIQUES_IN_MACHINE_LEARNING_ijariie23441.pdf (Accessed : )
IEEE V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM, "CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 4677-4682, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/CROP_YIELD_PREDICTION_AND_REMEDIES_RECOMMENDATION_USING_VARIOUS_FEATURE_SELECTION_TECHNIQUES_IN_MACHINE_LEARNING_ijariie23441.pdf [Accessed : ].
Turabian V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM. "CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver V SAIRAJ, SAMUDRALA VENKATA SAI TANISH, VS VENKATESH, and RISHITHA PANYAM. CROP YIELD PREDICTION AND REMEDIES RECOMMENDATION USING VARIOUS FEATURE SELECTION TECHNIQUES IN MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 4677-4682. Available from: https://ijariie.com/AdminUploadPdf/CROP_YIELD_PREDICTION_AND_REMEDIES_RECOMMENDATION_USING_VARIOUS_FEATURE_SELECTION_TECHNIQUES_IN_MACHINE_LEARNING_ijariie23441.pdf
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