This paper highlights why it is crucial to determine crop production using artificial
intelligence for the growth of agriculture. In this paper, an elaborated ResNet-59 model has …

The paper focuses on the seasonal oil accumulation in traditional and super-high density
(SHD) olive plantations and its modelling employing image-based linear models. For these …

A Science map** analysis was performed on Scopus papers spanning from 2003 to 2022
to investigate the utilization of artificial intelligence techniques in malignant tumors research …

The dataset is preprocessed to remove noise and augmented to address the issue of class
imbalance. The CNN model is then trained, validated, and tested on this dataset. The results …

Abstract he health of plants plays a crucial role in ensuring agricultural productivity and food
security. Early detection of plant diseases can significantly reduce crop losses, leading to …

By leveraging convolutional neural networks (CNNs), the model identifies various plant
diseases with high accuracy. The experimental setup includes a dataset consisting of …

Abstract Underwater Wireless Sensor Networks (UWSNs) are pivotal for various
applications, including oceanographic data collection, environmental monitoring, and naval …

Abstract Underwater Wireless Sensor Networks (UWSNs) have emerged as a critical tool for
various marine applications, such as underwater surveillance, oceanographic data …

The routing process then prioritizes nodes with higher energy levels, reducing premature
node failure. A novel energy-aware transmission algorithm ensures that data packets are …

The health of plants plays a crucial role in ensuring agricultural productivity and food
security. Early detection of plant diseases can significantly reduce crop losses, leading to …