CNN-based Fungal Plant Disease Detection

Top 1% in Freelancer.com Hi, Greetings! ✅checked your project details: ✅Completed Time: In project deadline We have worked on 900 + Projects. I have 6 + years of the experience in same kind of projects. If you are looking for a true Freelancer, I am the Right person for you. I am available almost 24-7 and am very responsive. I feel proud that I am a trusted Freelancer who pleases almost every single client. You can rest assure, your work will be delivered well in advance of others, with passion and accuracy. I guarantee you instant communication & responses when you need me. Why choose me? I think every client is the reason for my success. I only take projects which I am sure I can do quickly. My Portfolio Items: https://www.freelancer.com/u/schoudhary1553 I would really like to work with you on this project. If interested, Kindly contact me via chat for further details and discussion. Thank you Sandeep

Greetings, Thank you for considering my application for this project. As an AI Engineer and Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

Hello, How are you? I have 6+ years experience in Python , Machine Learning (ML) and Data Mining . I can assist you with this project and deliver it as soon as possible. Please leave a message through chat so that we can discuss the details of the project.

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I can develop CNN-based Fungal Plant Disease Detection. I am a freelancer having 7 years of experience in Python Language Development. I'm having the following skills in python: ◈ Object-Oriented Programming (OOP) in python ◈ R programming ◈ Jupyter notebook and Google Colab ◈ Data structures and Algorithms ◈ Web development with frameworks such as Django, Flask, and Streamlit and others ◈ Machine learning, deep learning, and Artificial Intelligence ◈ Database integration, including SQL and NoSQL ◈ Data analysis and visualizations ◈ Text processing and natural language processing, Tokenization ◈ Debugging and troubleshooting ◈ Functional programming ◈ Tkinter I hope I'm a good candidate for your project. I will deliver your project on time with quality assurance at affordable price. Please message me so that we can discuss more about your project.

With a solid foundation in machine learning and a wealth of experience working with Convolutional Neural Networks (CNNs), I am well-suited to tackle your plant disease detection project. I have a profound understanding of the entire ML pipeline, especially when it comes to handling and preprocessing image data, which will prove invaluable for optimizing your model. My expertise extends beyond that however. I have worked on a range of projects involving image processing, recognition, and synthesizing which make me uniquely qualified to rise to the challenge of developing an image detection model for fungal diseases in plants. From object detection tracking to countering, I've done it all! In addition to my technical know-how in Python and TensorFlow, I bring other qualities that bode well for your project's success. I am familiar with the importance of comprehensive documentation so you can expect clear articulation of the model architecture, training processes, and performance metrics. Furthermore, having established excellent rapport with my clients, I understand the importance of timely delivery and will continue to prioritize this as well as maintain open lines of communication throughout the project.

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Dear Hiring Team, I hope this message finds you in good health by the grace of almighty Allah. I am writing to express my keen interest in this position opportunity within your esteemed organization. I bring a wealth of experience and a strong background in Machine Learning, coupled with proficiency in Python and C/C++. My dedication to problem-solving is evident in my successful resolution of over 300 challenges on LeetCode. Additionally, I proudly serve as a Notebook Expert at Kaggle. Also, I have experience and have completed projects using Django, REST API, and Fast API. I have attached a document detailing my professional journey, outlining relevant experiences and skill sets. I have also included my public profile, which you can access for verification purposes. I am confident that my skills and enthusiasm make me a valuable candidate for this role, and I am eager to contribute to the success of your team. Thank you for considering my application. I look forward to the opportunity to discuss how my qualifications align with the needs of your organization. Best regards / Thank you / Sincerely yours, Md. Golam Mostofa 01780739705

As a budding professional immersed in the world of Machine Learning and Artificial Intelligence, I am genuinely excited to tackle this project on fungal plant disease detection. Although I may not have prior agricultural or botanical experience, my academic background and passion in Artificial Intelligence equip me with a fresh perspective that can effectively synergize with your datasets. My expertise in Python is robust, and I'm well-versed in TensorFlow, ensuring a solid foundation to actualize the CNN model we need. While my formal education at Bharath University provides me with an understanding of AI at large, I've also taken time to focus on complementing skills such as data preprocessing, optimization, and documentation. These proficiencies will ensure the resulting model not only detects diseases accurately but also provides a clear roadmap for future improvements and enhancements. Additionally, employing me for this project allows you to take advantage of my competitive market rate given my passion for turning dreams into realities. Let's work together to revolutionize the fight against fungal plant diseases through a robust CNN-based model!

Hi, there have you tried vision transformer its basically a transformer models that work really well for finding diseases type of problems as it, i think that be more help full but if you want CNN model build up from ground up or through transfer learning we can also do that feel free to contact so that you can share all details and we can start. Fell free to see my portfolio I have done few plant based detection problems which u can see in my portfolio page too

note: i am the only one here with SCI and FT-50 journal paper. I will give you all of your requirements and an SCI level paper for free to publish in my proposed budget. We can talk further. As an accomplished researcher with two published papers in top 50 SCI journals and another 12 under review, I bring a wealth of unrivaled expertise to the table to tackle your project on fungal plant disease detection. My proficiency extends across various coding languages with mastery in Python as well as my aptitude in handling machine learning frameworks like TensorFlow. The unique insight and skills I've obtained through academic ventures and real-world applications complements perfectly with the requirements of your project. What's more, I am well-versed in handling image data and constructing CNN models. I promise not only to develop a high-performing model for detecting fungal diseases but also deliver meticulous documentation of the training process, architecture, and performance evaluations. In addition to meeting all your stated criteria, I am committed to providing you with more value than just a completed project; together we could even publish an SCI level paper, aligning perfectly with my own prolific publication track record. Let's discuss further how we can employ the power of AI and coding to make a lasting impact in agricultural technology!

Having worked extensively in the field of machine learning for over 7 years, I believe my skills and experience make me a strong candidate for your project. While my background may differ from traditional candidates, my time at Samsung Electronics honed my abilities to collect, process, and analyze massive amounts of data - skills which directly apply to this CNN-based fungal plant disease detection project. Furthermore, my expertise with Python and TensorFlow will ensure a high-quality implementation of your image detection model. Speaking specifically to your requirements, I am more than comfortable working with image datasets and can leverage my deep knowledge of ML techniques to handle preprocessing tasks effectively. Throughout the course of this project, I can continuously optimize the CNN model using state-of-the-art methodologies to ensure accuracy rates are as high as possible. I believe that beyond just delivering results, it's important to document processes clearly so others can also understand and benefit from the work; rest guaranteed, I will provide comprehensive documentation that includes model architecture details, training processes, and performance metrics.

I have 3 years of experience working with machine learning and biological big data analysis. You will find more details of my plan in the charted milestone. I am bidding higher, but so will the quality of my work.

Dear Client, I am thrilled to submit my proposal for the CNN-Based Fungal Plant Disease Detection project. With my profound experience in developing convolutional neural network (CNN) models for image classification tasks, coupled with a passion for agricultural technology and sustainability, I am confident in my ability to contribute significantly to this project's success. Proposed Approach: Drawing upon my expertise, I propose the following approach: Data Collection and Annotation: I will take the dataset of plant images provided by you which I am expecting it is encompassing different species and stages of fungal infection. These images will be meticulously annotated to facilitate supervised learning. Model Architecture Design: Leveraging state-of-the-art CNN architectures, I will design a customized model suitable for plant disease detection. This model will undergo iterative refinement to optimize performance and minimize false positives. Training and Validation: The annotated dataset will be divided into training, validation, and testing sets. The model will undergo rigorous training using the training set and validated using the validation set to fine-tune hyperparameters and prevent overfitting. Thank you for considering my proposal. I am looking forward to the opportunity to contribute to the success of your project. Warm regards, Ramanuj Bhattacharjee