The process of globalization is being significantly influenced by the integration of
technology, and among the technological advancements, drone technology stands out as a …

Disease detection in plants is essential for food security and economic stability. Unmanned
aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The …

The study examines the use of drone technology in agriculture to predict the occurrence of
pest and disease outbreaks. The purpose of the study is to comprehend competition …

In Asia, there are many countries where paddy serves as the primary agricultural product.
Diseases on paddy plants have the potential to reduce paddy production and damage its …

The quantity, quality, production of Agricultural products is majorly affected by Plant
Diseases. Since the plant disease results in adverse effects of agricultural products growth …

Electrocardiogram (ECG) is a vital signal, used to identify cardiovascular diseases like
arrhythmias, heart attacks and coronary heart diseases. The classification of ECG signals …

Introduction: This paper is the outcome of a review survey,“Role of IoT, AI and blockchain in
agriculture and crop disease detection using a text mining approach,” done at Lovely …

There are inefficient factors involved in agriculture like diseases in plants, plant nourishment
product like inorganic fertilizers, insects and characteristics of soil in which the farmers …

The design of multi-drone systems with deep learning capabilities in Smart Guard Towns is
examined in this research study to improve situational awareness for urban management …

This research work presents a novel face recognition system with customized face dataset.
After completion of the dataset, this dataset will be fed to neural network (or) model and find …