The substantial increase in the human population dramatically strains food supplies.
Farmers need healthy soil and natural minerals for traditional farming, and production takes …

Precise Farming, commonly referred to as site-specific crop management, is the use of
technology to increase agricultural output and efficiency. Due to the availability of real-time …

Smart agriculture, fueled by the integration of Internet of Things (IoT) and cloud technology,
has revolutionized modern farming practices. In this study, we propose a step-by-step …

Agriculture is the backbone of the Indian economy and a source of employment for millions
of people across the globe. The perennial problem faced by Indian farmers is that they do …

This work focuses on the case study of vegetation dynamics using Machine Learning
algorithms on satellite time series data. Vegetation covers a substantial portion of the Earth's …

Traditional image retrieval from database based on available specific algorithms has
drawbacks, including laborious image annotation, poor feature extraction, an inability to …

In this study, we present an integrated approach utilizing IoT data and machine learning
models to enhance precision agriculture. We collected an extensive IoT secondary dataset …

The wireless Internet of Things (IoT), in particular its implementation in the field, is gaining
growing significance for the communication systems of the future. However, wearable …

Crop analysis and prediction is a rapidly growing field that plays important role to improve
farming methods. It provides farmers with the knowledge and skills to select the best crops …

The purpose, importance, approach, qualities, and requirement of soft computing are all
discussed in this study. Apart from that, the paper describes the work of numerous writers in …