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Comprehensive Study on Plant Disease Detection by using Hybrid Convolution Techniques

Comprehensive Study on Plant Disease Detection by using Hybrid Convolution Techniques DOI :  10.46335/IJIES.2024.9.4.22 Authors : Manesh P. Patil , Dr. Indrabhan S. Borse Abstract – The food supply of the world depends on plants. Many environmental factors can cause plant diseases, which can lead to significant losses in productivity. However, manually identifying plant diseases […]

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Fine-Tuning of Large Language Models (LLMs)

Fine-Tuning of Large Language Models (LLMs) Authors : Prof. Shankar Gadhve , Tapashya Pandit, Megha Ghodke, Sakshi Hudke, Vaishnavi Swami, Samuel Rodrigues DOI : 10.46335/IJIES.2024.9.5.13 Abstract : By merging self-supervised Language Modeling  with supervised Machine Translation aims, the paper  investigates a unique method for pre-training Large Language Models (LLMs). By utilizing cross-lingual parallel data, this […]

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Plant Disease Detection Using Image Segmentation Methods

Plant Disease Detection Using Image Segmentation Methods Authors :Manesh Prakashrao Patil , Prof. Dr. Indrabhan S. Borse , Prof. Dr. Balveer Singh DOI : 10.46335/IJIES.2025.10.6.16 Abstract – Plant diseases pose a major threat to global farming and can greatly reduce crop production. To reduce their impact, it’s important to detect and manage these diseases effectively. […]

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