Results 111 to 120 of about 3,630 (161)
Interactive effects of drought and weeds on greengram: Impacts on physiological, biochemical and yield traits. [PDF]
Sreekanth D +8 more
europepmc +1 more source
A Uav-based multisensor framework for legal industrial Cannabis monitoring and open-access dataset development. [PDF]
Rexha G +5 more
europepmc +1 more source
Real time weed identification with enhanced mobilevit model for mobile devices. [PDF]
Liu X, Sui Q, Chen Z.
europepmc +1 more source
ALNet: towards real-time and accurate maize row detection via anchor-line network. [PDF]
Feng B +8 more
europepmc +1 more source
A keypoint-based method for detecting weed growth points in corn field environments. [PDF]
Liu M +6 more
europepmc +1 more source
AI-driven autonomous spraying for precision weed management in specialty crop production
V. Vijayakumar, A. Neto, Y. Ampatzidis
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2020
Weeds occur in patches across landscapes and vary in species, density, time of emergence, and growth rate depending on location. Precision weed management accounts for natural and management-induced variation to optimize inputs (control methodology) to reduce weed presence and improve crop yields across an area.
Sharon A. Clay, J. Anita Dille
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Weeds occur in patches across landscapes and vary in species, density, time of emergence, and growth rate depending on location. Precision weed management accounts for natural and management-induced variation to optimize inputs (control methodology) to reduce weed presence and improve crop yields across an area.
Sharon A. Clay, J. Anita Dille
openaire +1 more source
Precision farming for weed management: techniques
Gesunde Pflanzen, 2008Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation.
Martin Weis +5 more
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