Advancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss Modeling A. Josephine, A. Subhashini Journal of Computer Science, 2025 Precision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote sensing techniques for farm monitoring. The benefits of multispectral and hyperspectral imaging for crop health monitoring are also discussed, as well as the application of deep learning and machine learning in stress detection. Prediction models for yield loss, IoT and edge computing integration, and the application of optimization algorithms to enhance predictive performance are discussed. Challenges and limitations related to data processing, scalability of the model, and real-time deployment are also discussed. The research then discusses applicable tools and techniques, followed by extensively investigating the upcoming trends and opportunities. The discussion presents the possibility of integrating remote sensing, artificial intelligence-based analytics, and IoT technologies towards more accurate agriculture. The result is of great use to the researchers and practitioners who seek to develop efficient, scalable, and cost-effective systems for agricultural real-time monitoring and decision support.
A new model of denoising and segmentation based on toggle wavelet transform and nano tree segmentation Journal of Advanced Research in Dynamical and Control Systems, 2019
RECENT SCHOLAR PUBLICATIONS
Denoising using Filters and various wavelet Transformations DA Subhashini Indian Journal of Natural Sciences 14 (82), 67520-67525 , 2024 2024
Brain Tumour Detection System DA Subhashini Indian Journal of Natural Sciences 13 (74), 48281-48288 , 2022 2022
MRI Brain Tumor Image enhancement using Bilateral & Spatial Filters DA Subhashini International Journal of Current Science 12 (4), 812-815 , 2022 2022
Denoising based on various segmentation methods DSPV A.Subhashini International Journal of Management,IT & Engineering 9 (3), 1-6 , 2019 2019
Image Classificatioon using Improved Multi-classSupport Vector Machine DSPV A.Subhashini International Journal of Advanced and Innovative Research 8 (2), 1-5 , 2019 2019
A new model of Denoising and Segmentation based on Toggle Wavelet Transform and Nano Tree Segmentation DSPV A.Subhashini Journal of Advanced Research in Dynamical & Control systems 11 (special … , 2019 2019
A novel algorithm for denoising using DTCWT based on local adaptive denoising and hybrid filtering ADSP Victor International journal of pure and applied mt 119, 1619-1623 , 2018 2018
A new approach on denoising for 1D, 2D and 3D images based on discrete wavelet transformation and thresholding SP Victor, ME MCA International Journal of Advanced Research in Computer Science 9 (1) , 2018 2018 Citations: 3
A Comparative Study about Various Noise Removal Filters and Edge Detection in MATLAB A Subhashini PSGCAS search 4 (1-issn 2349 – 5456), 46-51 , 2016 2016
MOST CITED SCHOLAR PUBLICATIONS
A new approach on denoising for 1D, 2D and 3D images based on discrete wavelet transformation and thresholding SP Victor, ME MCA International Journal of Advanced Research in Computer Science 9 (1) , 2018 2018 Citations: 3
Denoising using Filters and various wavelet Transformations DA Subhashini Indian Journal of Natural Sciences 14 (82), 67520-67525 , 2024 2024
Brain Tumour Detection System DA Subhashini Indian Journal of Natural Sciences 13 (74), 48281-48288 , 2022 2022
MRI Brain Tumor Image enhancement using Bilateral & Spatial Filters DA Subhashini International Journal of Current Science 12 (4), 812-815 , 2022 2022
Denoising based on various segmentation methods DSPV A.Subhashini International Journal of Management,IT & Engineering 9 (3), 1-6 , 2019 2019
Image Classificatioon using Improved Multi-classSupport Vector Machine DSPV A.Subhashini International Journal of Advanced and Innovative Research 8 (2), 1-5 , 2019 2019
A new model of Denoising and Segmentation based on Toggle Wavelet Transform and Nano Tree Segmentation DSPV A.Subhashini Journal of Advanced Research in Dynamical & Control systems 11 (special … , 2019 2019
A novel algorithm for denoising using DTCWT based on local adaptive denoising and hybrid filtering ADSP Victor International journal of pure and applied mt 119, 1619-1623 , 2018 2018
A Comparative Study about Various Noise Removal Filters and Edge Detection in MATLAB A Subhashini PSGCAS search 4 (1-issn 2349 – 5456), 46-51 , 2016 2016
