Results 101 to 110 of about 111,663 (352)

Sugarcane Variety Census: Florida 2003

open access: yesEDIS, 2007
 This document is SS AGR 266, part of the Florida Sugarcane Handbook, published by the UF Agronomy Department, June - October 2007.
B. Glaz   +2 more
openaire   +3 more sources

Relationships between methods of variety adaptability and stability in sugarcane

open access: yesGenetics and Molecular Research, 2014
The identification and recommendation of superior genotypes is crucial for the growth of industrial crops, and sugarcane breeding performs a vital role by developing more productive cultivars. The study of genotype x environment interaction has been an essential tool in this process.
T.O. Mendes de Paula   +6 more
openaire   +3 more sources

Utilising Artificial Intelligence to Enhance Firm Circular Economy Maturity: A Thematic Review via Machine Learning

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Despite the environmental imperative of a transition to a circular economy (CE), the current literature finds that globally firms are being slow to engage with such a transition. In this context, our thematic review explores how artificial intelligence (AI) might accelerate firm CE transition.
Donghao Huang   +2 more
wiley   +1 more source

Visacane, an up to date Cirad quarantine tool for exchanging disease-free sugarcane varieties in compliance with property rights. [BO24] [PDF]

open access: yes, 2015
Sugarcane varietal improvement requires the introduction of vegetatively propagated material. The continued increase of international and intercontinental trade of plants has led to the enforcement of quarantine measures in many countries before the ...
Bousquet, Jean-François   +5 more
core  

Sugarcane Variety Census: Florida 2004

open access: yesEDIS, 2007
This document is SS AGR 267, part of the Florida Sugarcane Handbook, published by the UF Agronomy Department, June - October 2007.
B. Glaz   +2 more
openaire   +3 more sources

Lignin‐derived carbon fibers: A green path from biomass to advanced materials

open access: yesCarbon Energy, Volume 7, Issue 3, March 2025.
Lignin, the most abundant polyphenolic compound in nature, is emerging as a promising precursor well‐suited for carbon fiber production. This review highlights recent advances in lignin valorization into carbon fibers, emphasizing chemical structures, performance, and energy applications.
Li Yan   +4 more
wiley   +1 more source

Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties [PDF]

open access: yesarXiv, 2020
Knowing chemical soil properties might be determinant in crop management and total yield production. Traditional soil properties estimation approaches are time-consuming and require complex lab setups, refraining farmers from promptly taking steps towards optimal practices in their crops.
arxiv  

Induction of somatic embryogenesis in different varieties of sugarcane (Saccharam officinarum L.) [PDF]

open access: yes, 2011
This investigation for the first time highlights TDZ induced callus formation, somatic embryogenesis and plant regeneration using leaf explants of different varieties (Co94032,CoC671, Co86032, SNK754, SNK61 and SNK44) of sugarcane (Saccharam officinarum).
B. Malabadi, Ravindra   +6 more
core   +2 more sources

Sustainable Carbon‐Based Catalyst Materials Derived From Lignocellulosic Biomass for Energy Storage and Conversion: Atomic Modulation and Properties Improvement

open access: yesCarbon Energy, EarlyView.
Carbon electrocatalyst materials based on lignocellulosic biomass with multi‐components, various dimensions, high carbon content, and hierarchical morphology structures have gained popularity in electrocatalytic applications. This review highlights the recent advances in the rational design of lignocellulosic‐based carbon electrocatalysts from an ...
Wei Li   +6 more
wiley   +1 more source

Precision Robotic Spot-Spraying: Reducing Herbicide Use and Enhancing Environmental Outcomes in Sugarcane [PDF]

open access: yes
Precise robotic weed control plays an essential role in precision agriculture. It can help significantly reduce the environmental impact of herbicides while reducing weed management costs for farmers. In this paper, we demonstrate that a custom-designed robotic spot spraying tool based on computer vision and deep learning can significantly reduce ...
arxiv   +1 more source

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