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[HTML][HTML] Smart indoor farms: Leveraging technological advancements to power a sustainable agricultural revolution
Conventional farming necessitates a large number of resources and infrastructure such as
land, irrigation, manpower to manage farms, etc. Modern initiatives are required to automate …
land, irrigation, manpower to manage farms, etc. Modern initiatives are required to automate …
YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
Weeds are among the major threats to cotton production. Overreliance on herbicides for
weed control has accelerated the evolution of herbicide-resistance in weeds and caused …
weed control has accelerated the evolution of herbicide-resistance in weeds and caused …
[HTML][HTML] Deep object detection of crop weeds: Performance of YOLOv7 on a real case dataset from UAV images
Weeds are a crucial threat to agriculture, and in order to preserve crop productivity,
spreading agrochemicals is a common practice with a potential negative impact on the …
spreading agrochemicals is a common practice with a potential negative impact on the …
Agricultural harvesting robot concept design and system components: A review
Develo** different robotic platforms for farm operations is vital to addressing the
increasing world population. A harvesting robot significantly increases a farm's productivity …
increasing world population. A harvesting robot significantly increases a farm's productivity …
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems
Precision weed management offers a promising solution for sustainable crop** systems
through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply …
through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply …
[HTML][HTML] Image patch-based deep learning approach for crop and weed recognition
Accurate classification of weed species in crop plants plays a crucial role in precision
agriculture by enabling targeted treatment. Recent studies show that artificial intelligence …
agriculture by enabling targeted treatment. Recent studies show that artificial intelligence …
[HTML][HTML] An end-effector for robotic cotton harvesting
Cotton, a major crop worldwide, is harvested in mechanized production systems once at the
end of the growing season. To facilitate harvest and maximize fiber quality, the plants are …
end of the growing season. To facilitate harvest and maximize fiber quality, the plants are …
Integration and preliminary evaluation of a robotic cotton harvester prototype
Cotton is conventionally harvested with large and costly harvesters once at the end of the
growing season. Fiber in the early-opened bolls is left on the plants till the end of the season …
growing season. Fiber in the early-opened bolls is left on the plants till the end of the season …
Internet of things: Cotton harvesting and processing
Cotton requires multiple processing steps to convert the raw agricultural products into
finished textiles. Genetic and environmental factors, crop management decisions, and …
finished textiles. Genetic and environmental factors, crop management decisions, and …
Field test and evaluation of an innovative vision-guided robotic cotton harvester
Conventional cotton harvesters are efficient but heavy causing soil compaction. They
normally perform one harvesting pass, but since cotton bolls mature over two months, the …
normally perform one harvesting pass, but since cotton bolls mature over two months, the …