Cotton requires multiple processing steps to convert the raw agricultural products into
finished textiles. Genetic and environmental factors, crop management decisions, and …

Automation continues to play a greater role in agricultural production with commercial
systems now available for machine vision identification of weeds and other pests …

In this paper, we present the development of a low-cost distributed computing pipeline for
cotton plant phenotyping using Raspberry Pi, Hadoop, and deep learning. Specifically, we …

Several studies on robotic cotton harvesters have designed their end-effectors and
harvesting algorithms based on the approach of harvesting a single cotton boll at a time …

In this paper, we present an approach to create spatio-temporal maps using deep learning
to visualize cotton bloom appearance over time. Specifically, we manually annotate cotton …

Automation continues to play a greater role in agricultural production with commercial
systems now available for machine vision identification of weeds and other pests …

The growth of crops is seriously affected in the process of precision planting of crops due to
many external environmental interference factors, low precision of sowing technology, and …

The rapidly growing world population challenges farmers to meet the rising food demand.
Monitoring crop phenotypes, or the physical plant traits, is useful in tracking plant …

Aiming at the integrated problem of perception and decision-making of self-driving logistics
vehicles in complex traffic environments, this study starts from four aspects: environment …

Egyptian cotton is one of the most important commodities to the Egyptian economy and is
renowned globally for its quality, which is currently graded by manual inspection. This has …