The cultivation of most crops depends upon the regional weather conditions. So, the
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …

This research aims to develop a Machine Learning model for predicting soil moisture levels,
which may be used to construct smart irrigation systems. The model was evaluated and …

The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

Abstract The Artificial Intelligence of Things (AIoT), a combination of the Internet of Things
(IoT) and Artificial Intelligence (AI), plays an increasingly important role in smart agriculture …

The article provides a comprehensive review of the use of the Internet of Things (IoT) in
agriculture, along with its advantages and disadvantages. However, it's important to …

In an agricultural system, finding suitable watering, pesticides, and soil content to provide
the right nutrients for the right plant remains challenging. Plants cannot speak and cannot …

Nowadays, securing the sensed data in the cloud server is one of the significant concerns in
blockchain technology. Although different Machine Learning (ML) based security …

Edge-based Internet of Things devices have transformed smart farming, aiding in efficient
data collection and processing for optimal resource utilization and crop yields. However …

Agriculture is one of the prime economical sources of India and most of the people directly or
indirectly depend on farming. The researchers are focusing on plant ailment detection and …

The primary safety hazard at unsignalized intersections, particularly in urban areas, is
pedestrian-vehicle collisions. Due to its complexity and inattention, pedestrian crossing …