Results 91 to 100 of about 3,630 (161)

Assessment of three broadleaf weed species classification in rice field using UAV hyperspectral imaging and machine learning. [PDF]

Front Plant Sci
Sulaiman N, Che'Ya NN, Juraimi AS, Noor NM, Rosle R, Mohd Roslim MH.   +5 more
europepmc   +1 more source

Dataset for weed detection in fruit orchards. [PDF]

Data Brief
Salcedo-Navarro A, Montalban-Faet G, Garcia-Pineda M, Segura-Garcia J.   +3 more
europepmc   +1 more source

YOLOv12-BDA: A Dynamic Multi-Scale Architecture for Small Weed Detection in Sesame Fields. [PDF]

Sensors (Basel)
Xia G, Li X.
europepmc   +1 more source

Enhancing soybean (<i>Glycine max</i> L.) yield and quality through optimized weed-free periods and sowing techniques. [PDF]

Front Plant Sci
Arshad MA, Abbas RN, Baloch R, Ahmad A, Zulfiqar U, Haider FU, El-Beltagi HS, Alqahtani MD, Prasad PVV.   +8 more
europepmc   +1 more source

Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application. [PDF]

Sci Rep
Kebede AS, Muluneh TW, Adege AB.
europepmc   +1 more source

Precision weed detection using yolov11 for enhanced agriculture management

International Journal of Agriculture Extension and Social Development
Dr. S Gangadharan, Soniesh Immidichetty, Sathvik Gandhamueni, Yaswanth Mupparaju, Siva Gottipati, U Joshva Joel Simon   +5 more
openaire   +1 more source

Enhancing soybean tolerance to pre-emergent herbicides via biochar seed coating for eco-safe food systems. [PDF]

Front Plant Sci
Arshad MA, Abbas RN, Baloch R, Ahmad A, Zulfiqar U, Haider FU, El-Beltagi HS, Alqahtani MD, Prasad PVV.   +8 more
europepmc   +1 more source

Using Precision Agriculture as a Tool to Enhance Weed Management

Proceedings of the Integrated Crop Management Conference, 1998
openaire   +2 more sources

HDMS-YOLO: a multi-scale weed detection model for complex farmland environments. [PDF]

Front Plant Sci
Hua J, He R, Zeng Y, Chen Q.
europepmc   +1 more source

Deep learning classification of INSV-associated weeds in Monterey county using a curated RGB image dataset. [PDF]

Sci Rep
Sharma AK, Jani AD, Brunnengraeber E, Choi J, Fife R, Gandhok S, Huie K, Ilano AB, Lopez E, Lopez M, McMillan O, Parra A, Pollock T, Woodbridge D, Young R.   +14 more
europepmc   +1 more source