Results 61 to 70 of about 283 (97)

SENSOR-BASED WEED CONTROL REVIEW: MECHANICAL CONTROL USING SENSORS AND ROBOTS IN SUGAR BEET (BETA VULGARIS L.) PLANT PROTECTION TECHNOLOGY

Agricultura
This paper is a prospective review with the actual methods of mechanical weed control in sugar beet, from the simple ones to the most sophisticated, using sensors or robots, due to the large amount of pesticides used for a clean field.
Sergiu Cioca Parasca, Teodor Rusu, Ileana Bogdan   +2 more
doaj   +1 more source

Smart weed recognition in saffron fields based on an improved EfficientNetB0 model and RGB images

Scientific Reports
Smart weed-crop discrimination is crucial for modern precision weed management. In this study, we aimed to develop a robust system for site-specific weed control in saffron fields by utilizing color images and a deep learning approach to distinguish ...
Hassan Makarian, Seyed Iman Saedi, Hossein Sahabi   +2 more
doaj   +1 more source

EFFECT ON WEED SPECIES FROM MECHANICAL AND CHEMICAL CONTROL IN SUGAR BEET (BETA VULGARIS L.) IN THE TRANSYLVANIAN DEPRESION

Agricultura
The research investigate the effectiveness from mechanical and chemical control, on the weed species in sugar beet from three agricultural years (2021-2023) including the sensor guided hoe in the Transilvanyan Depresion.
Sergiu Cioca Parasca, Teodor Rusu, Ileana Bogdan   +2 more
doaj   +1 more source

YOLOv7 for Weed Detection in Cotton Fields Using UAV Imagery

AgriEngineering
Weed detection is critical for precision agriculture, enabling targeted herbicide application to reduce costs and enhance crop health. This study utilized UAV-acquired RGB imagery from cotton fields to develop and evaluate deep learning models for weed ...
Anindita Das, Yong Yang, Vinitha Hannah Subburaj   +2 more
doaj   +1 more source

Remote Aerial Vehicle Solutions for Weed Detection in Precision Agriculture

IEEE Access
This study presents a novel Remote Aerial Vehicle-based approach for detecting pigweeds in soybean (Glycine max) fields using a combination of deep learning and advanced image processing techniques.
Shekhar S. Borah, Aryan Anand, Prabha Sundaravadivel, Reginald Fletcher, Krishna N. Reddy   +4 more
doaj   +1 more source

AI Driven Applications for Precision Weed Management in Agricultural Crops

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Agriculture plays a most important role in our Indian economy and therefore lowering the cost of production and improving the quality of agricultural products is highly demanded. A weed is a plant which grows in wrong place at the wrong time and doing mostly harm than crops.
openaire   +1 more source

Applications of deep learning in precision weed management: A review

Computers and Electronics in Agriculture, 2023
Nitin Rai, Yu Zhang, Billy G. Ram, Leon Schumacher, Ravi K. Yellavajjala, Sreekala Bajwa, Xin Sun   +6 more
openaire   +1 more source

Modelling the spatial variation in Alopecurus myosuroides for precision weed management [PDF]

Alopecurus myosuroides Huds. (black-grass) grows in patches within fields. This presents\ud an opportunity for site-specific management by patch spraying. Despite the economic\ud and environmental benefits of this type of management, it is not being readily taken\ud up by farmers, largely due to the risk of missing weeds that fall outside of ...
openaire  

An image analysis and classification system for automatic weed species identification in different crops for precision weed management

, 2010
A system for the automatic weed detection in arable fields was developed in this thesis. With the resulting maps, weeds in fields can be controlled on a sub-field level, according to their abundance. The system contributes to the emerging field of Precision Farming technologies.
openaire   +1 more source

Using Precision Agriculture as a Tool to Enhance Weed Management

Proceedings of the Integrated Crop Management Conference, 1998
openaire   +3 more sources