Crop row detection is one of the foundational and pivotal technologies of agricultural robots
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …

Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

As a highly productive rice, ratoon rice is widely planted worldwide, but the rolling of rice
stubble in mechanical harvesting severely limits its total yield; based on this, some scholars …

The goal of achieving autonomous navigation for agricultural robots poses significant
challenges, mostly arising from the substantial natural variations in crop row images as a …

Crop row detection is an important technique for the agricultural robot to spray and weed the
target. A new method based on visual navigation line detection was proposed for the current …

The issue of weed classification in paddy fields has received extensive research. There are
various methods for resolving the weed classification issue. These methods use color …

Agricultural productivity is greatly affected by weeds. To remove these weeds with chemical
pesticides is harmful to the ecological environment. Also, with overall level of agricultural …

With rising challenges and depleting resources, many automation solutions have been
developed in agriculture. Integration of Internet-of-Agro-Things (IoAT) and Artificial …

The agricultural industry is increasingly adopting Deep Learning methodologies to tackle
obstacles related to weed identification and categorization, with the ultimate goal of …

抄録 Crop detection is important for automatic weeding. A previous study achieved crop
detection by detecting plant blobs in crop rows and by classifying them as crop or weed …