Results 11 to 20 of about 412,073 (404)
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images [PDF]
Monitoring crops and weeds is a major challenge in agriculture and food production today. Weeds compete directly with crops for moisture, nutrients, and sunlight.
Reenul Reedha +3 more
semanticscholar +1 more source
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 environment.
I. Gallo +5 more
semanticscholar +1 more source
Herbicide Resistance: Managing Weeds in a Changing World
Over the years, several agricultural interventions and technologies have contributed immensely towards intensifying food production globally. The introduction of herbicides provided a revolutionary tool for managing the difficult task of weed control ...
Rita Ofosu +5 more
semanticscholar +1 more source
Agrochemical application is an important tool in the agricultural industry for the protection of crops. Agrochemical application with conventional sprayers results in the waste of applied agrochemicals, which not only increases financial losses but also ...
Jizhan Liu, Irfan Abbas, R. S. Noor
semanticscholar +1 more source
Naturally produced by aromatic plants, essential oils (EO) contain a wide range of volatile molecules, including mostly secondary metabolites, which possess several biological activities.
Robin Raveau +2 more
semanticscholar +1 more source
Deep Convolutional Neural Networks for Weeds and Crops Discrimination From UAS Imagery
Weeds are among the significant factors that could harm crop yield by invading crops and smother pastures, and significantly decrease the quality of the harvested crops.
L. Hashemi-Beni +4 more
semanticscholar +1 more source
Classification of paddy crop and weeds using semantic segmentation
Weeds are unwanted plants in a farm field and have harmful effects on the crops. Sometimes rigorous weeds bring down the crop yield significantly, causing huge losses to farmers.
Radhika Kamath +3 more
semanticscholar +1 more source
Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review
Automation, including machine learning technologies, are becoming increasingly crucial in agriculture to increase productivity. Machine vision is one of the most popular parts of machine learning and has been widely used where advanced automation and ...
Ildar Rakhmatuiln +2 more
semanticscholar +1 more source
Recent studies indicated that ‘inert ingredients’ exert negative effects on the environment. Herbicide safeners are classed as ‘inert ingredients’, which increase the selectivity and detoxification of herbicides.
Sihong Liu +3 more
doaj +1 more source
Plant-Mediated Behavioural Avoidance of a Weevil Towards Its Biological Control Agent
New Zealand pastures largely comprising Lolium ryegrass species (Poales: Poaceae) are worth $19.6B and are subject to major pest impacts. A very severe pest is the Argentine stem weevil Listronotus bonariensis (Kuschel) (Coleoptera: Curculionidae).
Morgan W. Shields +5 more
doaj +1 more source

