Results 81 to 90 of about 78,411 (141)

Smart IoT-driven precision agriculture: Enhancing macro and micro nutrition efficiency and sustainability in modern agriculture and greenhouses. [PDF]

Sci Prog
Pelekamoyo J, Nakaona L, Kambone S, Mwitwa J, Jere A, Nsama L, Walubita N, Nkweto E.   +7 more
europepmc   +1 more source

YOLO-based deep learning framework for real-time multi-class plant health monitoring in precision agriculture. [PDF]

Sci Rep
Rana A, Vaidya P.
europepmc   +1 more source

Deep learning-based phenotyping of lettuce diseases using Efficient-FBM-FRMNet for precision agriculture. [PDF]

Front Plant Sci
Nasra P, Gupta S, Khan M, Singh J, Alabdullah B, Almjally A, Pant R, Kumar N, Bharany S.   +8 more
europepmc   +1 more source

MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning research. [PDF]

Data Brief
Preanto SA, Paul T, Khan A, Bijoy MHI.
europepmc   +1 more source

Electrochemical (Bio)Sensors Based on Nanotechnologies for the Detection of Important Biomolecules in Plants and Plant-Related Samples: The Future of Smart and Precision Agriculture. [PDF]

Biosensors (Basel)
Hosu IS, Fierăscu RC, Fierăscu I.
europepmc   +1 more source

Advances in surface-enhanced Raman scattering applications for precision agriculture: monitoring plant health and crop quality. [PDF]

RSC Adv
Nguyen HA, Nga DTN, Cuong TD, Quan Doan M, Le AT.   +4 more
europepmc   +1 more source

Plant leaf disease detection using vision transformers for precision agriculture. [PDF]

Sci Rep
S M, R G.
europepmc   +1 more source

Towards precision agriculture: metaheuristic model compression for enhanced pest recognition. [PDF]

Sci Rep
Parez S, Alghamdi NS, Mahmood T, Ullah W, Khan MA, Houda T, Dilshad N.   +6 more
europepmc   +1 more source

Correction: Deep learning-based text generation for plant phenotyping and precision agriculture. [PDF]

Front Plant Sci
Zhu L, Tang L, Ren S.
europepmc   +1 more source