Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  crop yield prediction using DL
PaperId: :  23624
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23624
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bale Yeshwanthdon bosco institute of technology
Darshan Rdon bosco institute of technology
Divyashree Kdon bosco institute of technology
Amulya Pdon bosco institute of technology

Abstract

Information Engineering
Neural Network, Support Vector Regression, Random Forest Regression, Linear Regression, ReLu, Adam Optimizer
Agriculture provides a living for around 58 percent of India's population. Agriculture, forestry, and fisheries were expected to generate ₹19.48 lakh crore in FY20. Given the significance of agriculture in India, farmers might benefit from early forecasting of agricultural yields. The study focuses on predicting agricultural yield,, for Karnataka state using the regression with neural network model. The final constructed dataset takes parameters like agricultural area, crop, taluka, year, season, district wise annual rainfall (mm), district wise maximum and minimum temperature (˚C) and harvest or yield for the time period of 1997 to 2017. The underlying model is built utilizing a Multilayer Perceptron Neural Network, a ReLu Activation function, an Adam Optimizer, and 50 epochs with a batch size of 200. The end of the training gained 96.43% accuracy on test data. Several additional well-known regression algorithms such as Multinomial Linear Regression, Random Forest Regression and Support Vector Machine are also constructed and trained using the same dataset so as to compare their performance to the base model. From the final comparison results it was found that neural network model has outperformed classic machine models for crop yield prediction in terms of both mean absolute error and accuracy

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P. "crop yield prediction using DL" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 374-384
MLA Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P. "crop yield prediction using DL." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 374-384.
APA Bale Yeshwanth, Darshan R, Divyashree K, & Amulya P. (2024). crop yield prediction using DL. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 374-384.
Chicago Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P. "crop yield prediction using DL." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 374-384.
Oxford Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P. 'crop yield prediction using DL', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 374-384. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/crop__yield_prediction_using_DL_ijariie23624.pdf (Accessed : ).
Harvard Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P. (2024) 'crop yield prediction using DL', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 374-384IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/crop__yield_prediction_using_DL_ijariie23624.pdf (Accessed : )
IEEE Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P, "crop yield prediction using DL," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 374-384, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/crop__yield_prediction_using_DL_ijariie23624.pdf [Accessed : ].
Turabian Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P. "crop yield prediction using DL." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Bale Yeshwanth, Darshan R, Divyashree K, and Amulya P. crop yield prediction using DL. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 374-384. Available from: https://ijariie.com/AdminUploadPdf/crop__yield_prediction_using_DL_ijariie23624.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
INTEGRATING THE FLIPPED CLASSROOM MODEL WITH PROJECT-BASED LEARNING IN TEACHING MICROSOFT POWERPOINT: A CASE STUDY AT THE UNIVERSITY OF AGRICULTURE AND FORESTRY, THAI NGUYEN UNIVERSITYEducationNguyen Ngoc Lan Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
12