Conventional farming still relies on large quantities of agrochemicals for weed management
which have several negative side‐effects on the environment. Autonomous robots offer the …

Weeds compete with crops and are hard to differentiate and identify due to their similarities
in color, shape, and size. In this study, the weed species present in sorghum (sorghum …

Applying agrochemicals is the default procedure for conventional weed control in crop
production, but has negative impacts on the environment. Robots have the potential to treat …

Sustainable agriculture covers environmentally friendly farming methods that preserve an
ecological balance by avoiding depletion of natural resources. From the environmental point …

This work proposes weed classification solutions in corn crops using Deep Artificial Neural
Networks. The InceptionV3, MobileNetV2 and Adapted MobileNetV2 Convolutional Neural …

Highlights•Proposed a real-time in-row crop detection and classification algorithm.•Novel
crop signalling technique to help in distinguishing crops from in-row weeds.•Computer …

Groundwater is one of the major sources of exploitation in arid and semiarid regions. Spatial
and temporal quality distribution is an important factor in groundwater management. Thus for …