The unmanned aerial vehicle (UAV)-captured panoptic remote sensing images have great
potential to promote robotics-inspired intelligent solutions for land cover mapping, disaster …

Weed and crop segmentation is becoming an increasingly integral part of precision farming
that leverages the current computer vision and deep learning technologies. Research has …

The accurate identification of weeds is an essential step for a site-specific weed
management system. In recent years, deep learning (DL) has got rapid advancements to …

In order to overcome this threat imposed by weeds in agriculture, a measure is taken to
identify the weeds that grow along with the seedlings with the help of deep learning (DL) …

As the tomato (Solanum lycopersicum L.) is one of the most important crops worldwide, and
the conventional approach for weed control compromises its potential productivity. Thus, the …

Weed is one of the main reasons that cause damage to the crop. While cultivating the crops,
many of the farmers are facing problems due to weed growth. The problems are the damage …

Human community are educated about the environmental issues of pesticides and fertilizers
used in agriculture. There is a ever-growing demand for food to be met by agriculture …

Extraction of cultivated land information from high spatial resolution remote sensing images
is increasingly becoming an important approach to digitization and informatization in …

Internet of things (IoT) is an emerging technology that shows the future of computing and
networking. Agricultural monitoring from a remote location is one of the essential …

Abstract Machine learning techniques are used for crop disease identification and
classification. Considering the remote nature of Agriculture, an optimized model needs to be …