Results 241 to 250 of about 144,958 (323)
From farm to pharma, this review details the engineering of quality in medicinal plants through a science‐driven approach: it first elucidates how genetic and environmental factors inscribe the plant's phytochemical and phytopharmacological profile before harvest, and then dissects the postharvest techniques and technologies—chemical and thermal pre ...
Elyas Aryakia
wiley +1 more source
Enhancing the weed segmentation in diverse crop fields using computationally effective concatenated attention U-Net with convolutional block attention module. [PDF]
Arumuga Arun R +3 more
europepmc +1 more source
ABSTRACT Alberta, Manitoba, and Saskatchewan, the Prairie Provinces of Canada, lead national oilseed cultivation. Canola is a staple crop that provides food oil and feedstock for biofuels. Canola production is vulnerable to climate variability, and climate change has altered crop cycles and affected Canadian canola producers.
Yohanne Larissa Gavasso‐Rita +4 more
wiley +1 more source
A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing. [PDF]
Yang ZY +5 more
europepmc +1 more source
Microphenomics is a new technique for detecting the very early resistance of powdery mildew in wheat seedlings, after 24, 48, and 72 h from infection. A number of 29, 42, and 34 genes models were identified to harbor significant SNP markers associated with the early resistance to WPM.
Amira M.I. Mourad +4 more
wiley +1 more source
Interactive effects of drought and weeds on greengram: Impacts on physiological, biochemical and yield traits. [PDF]
Sreekanth D +8 more
europepmc +1 more source
Murayaquinone isolated from the pine endophyte Streptomyces sp. AN140557 exhibits potent, dose‐dependent nematicidal activity and egg‐hatching inhibition against the pine wood nematode. It effectively inhibited pine wilt disease in greenhouse tests, suggesting potential as a promising biocontrol agent.
Min‐Kyoung Kang +2 more
wiley +1 more source
CottonNet-MHA: a multi-head attention-based deep learning framework for cotton disease detection. [PDF]
Hassan MMM +6 more
europepmc +1 more source
ABSTRACT Allergic rhinitis (AR) is a chronic inflammatory disease of the nasal mucosa characterized by allergen sensitization and the involvement of multiple inflammatory mediators. Currently, the treatment of AR mainly includes symptomatic relief, anti‐inflammatory therapy, and nerve desensitization. However, these treatments have limitations in fully
Yue Gu +7 more
wiley +1 more source
Labour Dynamics, Factor Substitution and Capital Adoption in Sub‐Saharan African Agriculture
ABSTRACT Ongoing structural transformations in many Sub‐Saharan African (SSA) economies are driving changes in labour inputs and wages, likely influencing smallholder agriculture and the direction of agricultural intensification processes. At the same time, the adoption of capital‐intensive technologies still remains puzzlingly low.
Pranav Patil +2 more
wiley +1 more source

