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Jul 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3449
A. Stanley RajCorresponding author
Electrical resistivity method is often used to estimate the subsurface structure of the earth. Many inversion algorithms are available to estimate the subsurface features. However, predicting the exact parameter in the non-linear subsurface of the earth is difficult because of its complex compositio…
Mar 2025 DOI 10.14302/issn.2638-4469.japb-25-5395
Divakar ChennamsettiCorresponding author
Plant leaf diseases pose significant threats to crop yield and agricultural sustainability, making early and accurate detection crucial for effective disease management. In current years, deep neural network (DNN) techniques have shown remarkable potential in the field of image classification, inclu…
May 2024 DOI 10.14302/issn.2998-1506.jpa-24-5058
Swati ShresthaCorresponding author
Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass weeds, poses significant challenges to wheat production, competing for resources and reducing grain yield and quality. Effective weed management practices, including early identification and…
Jun 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3402
A. Stanley RajCorresponding author
This research paper focuses on rainfall variations in Tamil Nadu, India using Wavelet, Linear regression and Artificial Neural Networks model from 2004 to 2017. As the rainfall is the key factor in understanding climate change, the seasonal datasets from 2004-2017 of Tamil Nadu state has been taken…