This paper presents the impact of machine learning in precision agriculture. State-of-the-art
image recognition is applied to a dataset composed of high precision aerial pictures of …

This paper presents the performances of machine learning algorithms on aerial images
object detection for high precision agriculture. The dataset used focuses on geotagged …

Precision Agriculture is a clear standout of applying the most recent advances of intelligent
systems. The motivation behind the adoption of such a systems is to reduce costs, increment …

Vision-based detection and classification systems for identifying crops and weeds in
captured color images have recently being extensively researched due to the advantages …

This paper describes an approach of creating a system identifying fruit and vegetables in the
retail market using images captured with a video camera attached to the system. The system …

Agriculture is essential to the continued existence of human life as they directly depend on it
for the production of food. The exponential rise in population calls for a rapid increase in …

Integrating deep learning for crop monitoring presents opportunities and challenges,
particularly in object detection under varying environmental conditions. This study …

Smart farms are increasing in both number and level of technology used. Image processing
had been applied to hydroponic farms to detect disease in plants, but detecting the …

Image processing has been proved to be an effective tool for analysis in various human
activity areas, namely, agricultural applications. Interpreting a digital color image of fruit …

The agricultural sector has recognized that for crop management to thrive, acquiring relevant
information on plants is needed. However, studies have shown that agricultural problems …