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Title: :  Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection
PaperId: :  24987
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 5 2024
DUI:    16.0415/IJARIIE-24987
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rani IshwarashettiCMR University Bangalore
Syeeda MujeebunnisaCMR University Bangalore

Abstract

Computer Engineering
Crop Selection, Fertilizer Optimization, Leaf Disease Management, Machine Learning, Data Analysis, Precision Agriculture, Soil Fertility Decline, Convolutional Neural Networks (CNNs), Random Forest, ResNet-50 Model, Environmental Impact on Agriculture.
Agriculture is a cornerstone of the global economy, playing a crucial role in GDP and employment. As the global population continues to rise, enhancing agricultural productivity is essential to ensure food security. Crop yield is influenced by a range of factors including temperature, rainfall, soil conditions, and fertilizer application, leading to fluctuations in production. Over the years, soil fertility has been declining due to environmental factors, making it increasingly challenging to maintain high crop yields. This research introduces a web application that assists farmers in making informed decisions regarding crop selection, fertilizer application, and leaf disease management. By harnessing advanced data analysis and machine learning techniques, the platform provides personalized recommendations based on soil quality, climate, and geographical data. Machine learning algorithms are used for crop and fertilizer suggestions, while deep learning models like CNN ResNet-50 are employed for leaf disease detection. The system aims to enhance yield and sustainability, thereby improving agricultural productivity and ensuring global food security. By optimizing resource use and reducing crop losses due to diseases, this solution addresses the challenges posed by declining soil fertility and promotes sustainable farming practices.

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IJARIIE Rani Ishwarashetti, and Syeeda Mujeebunnisa. "Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 5 2024 Page 605-617
MLA Rani Ishwarashetti, and Syeeda Mujeebunnisa. "Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection." International Journal Of Advance Research And Innovative Ideas In Education 10.5(2024) : 605-617.
APA Rani Ishwarashetti, & Syeeda Mujeebunnisa. (2024). Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection. International Journal Of Advance Research And Innovative Ideas In Education, 10(5), 605-617.
Chicago Rani Ishwarashetti, and Syeeda Mujeebunnisa. "Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 5 (2024) : 605-617.
Oxford Rani Ishwarashetti, and Syeeda Mujeebunnisa. 'Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, 2024, p. 605-617. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Agroadvisor__Empowering_Farmers_with_Data___Driven_Crop__Fertilizer_Recommendation__And_Leaf__Disease_Detection_ijariie24987.pdf (Accessed : ).
Harvard Rani Ishwarashetti, and Syeeda Mujeebunnisa. (2024) 'Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection', International Journal Of Advance Research And Innovative Ideas In Education, 10(5), pp. 605-617IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Agroadvisor__Empowering_Farmers_with_Data___Driven_Crop__Fertilizer_Recommendation__And_Leaf__Disease_Detection_ijariie24987.pdf (Accessed : )
IEEE Rani Ishwarashetti, and Syeeda Mujeebunnisa, "Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, pp. 605-617, Sep-Oct 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Agroadvisor__Empowering_Farmers_with_Data___Driven_Crop__Fertilizer_Recommendation__And_Leaf__Disease_Detection_ijariie24987.pdf [Accessed : ].
Turabian Rani Ishwarashetti, and Syeeda Mujeebunnisa. "Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 5 ().
Vancouver Rani Ishwarashetti, and Syeeda Mujeebunnisa. Agroadvisor: Empowering Farmers with Data- Driven Crop, Fertilizer Recommendation, And Leaf Disease Detection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(5) : 605-617. Available from: https://ijariie.com/AdminUploadPdf/Agroadvisor__Empowering_Farmers_with_Data___Driven_Crop__Fertilizer_Recommendation__And_Leaf__Disease_Detection_ijariie24987.pdf
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