Results 101 to 110 of about 3,630 (161)

A sustainable crop protection through integrated technologies: UAV-based detection, real-time pesticide mixing, and adaptive spraying. [PDF]

Sci Rep
Li W, Luo Y, Jiang P, Dong X, Tang K, Liang Z, Shi Y.   +6 more
europepmc   +1 more source

EU-funded research to advance agroecological weed management in Europe, Part I: vision. [PDF]

Open Res Eur
Tataridas A, Anastasi M, Vieites-Álvarez Y, López-González D, Campillo-Cora C, Giusti A, Sánchez-Moreiras AM, Freitas H.   +7 more
europepmc   +1 more source

Enhancing weed detection through knowledge distillation and attention mechanism. [PDF]

Front Robot AI
El Alaoui A, Mousannif H.
europepmc   +1 more source

Deep Learning-Driven Automatic Segmentation of Weeds and Crops in UAV Imagery. [PDF]

Sensors (Basel)
Tao J, Qiao Q, Song J, Sun S, Chen Y, Wu Q, Liu Y, Xue F, Wu H, Zhao F.   +9 more
europepmc   +1 more source

A dataset of aligned RGB and multispectral UAV imagery for semantic segmentation of weedy rice. [PDF]

Data Brief
Nguyen VH, Le CD, Truong MT, Bui MT, Le TP.   +4 more
europepmc   +1 more source

A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing. [PDF]

Plants (Basel)
Yang ZY, Xia WK, Chu HQ, Su WH, Wang RF, Wang H.   +5 more
europepmc   +1 more source

Enhancing the weed segmentation in diverse crop fields using computationally effective concatenated attention U-Net with convolutional block attention module. [PDF]

Sci Rep
Arumuga Arun R, Umamaheswari S, Mohamed Meerasha I, Mohankumar B.   +3 more
europepmc   +1 more source

CottonNet-MHA: a multi-head attention-based deep learning framework for cotton disease detection. [PDF]

Front Plant Sci
Hassan MMM, Ray A, Barbhuyan MFK, Khan M, Alabdullah B, Islam MF, Mohammed Mujahid B.   +6 more
europepmc   +1 more source

Smart weed recognition in saffron fields based on an improved EfficientNetB0 model and RGB images. [PDF]

Sci Rep
Makarian H, Saedi SI, Sahabi H.
europepmc   +1 more source

Deep learning-based laser weed control compared to conventional herbicide application across three vegetable production systems. [PDF]

Pest Manag Sci
Sosnoskie LM, Bill K, Butler-Jones A, Bouchelle WM, Besançon TE.   +4 more
europepmc   +1 more source