Results 21 to 30 of about 5,834,205 (394)

Genomic Selection in Sugarcane: Current Status and Future Prospects

open access: yesFrontiers in Plant Science, 2021
Sugarcane is a C4 and agro-industry-based crop with a high potential for biomass production. It serves as raw material for the production of sugar, ethanol, and electricity.
Channappa Mahadevaiah   +9 more
doaj   +1 more source

PREDICTION MODELS FOR NON-DESTRUCTIVE ESTIMATION OF TOTAL CHLOROPHYLL CONTENT IN SUGARCANE

open access: yesJournal of Sugarcane Research, 2020
Total chlorophyll content of sugarcane is an important indicator of plant health, directly correlated to the photosynthetic potential of the crop. With recent technological advancements, portable chlorophyll meters have largely replaced biochemical ...
Vengavasi Krishnapriya   +3 more
doaj   +1 more source

A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane

open access: yesFrontiers in Plant Science, 2023
The sugarcane ratooning ability (RA) is the most important target trait for breeders seeking to enhance the profitability of sugarcane production by reducing the planting cost.
Md. Sariful Islam   +6 more
doaj   +1 more source

Advanced Computational Methods for Agriculture Machinery Movement Optimization with Applications in Sugarcane Production

open access: yesAgriculture, 2020
This paper considers the evolution of processes applied in agriculture for field operations developed from non-organized handmade activities into very specialized and organized production processes.
M. Filip   +10 more
semanticscholar   +1 more source

SSM-Net for Plants Disease Identification in Low Data Regime [PDF]

open access: yesPoster @CVPR workshop, Proceedings at IEEE / ITU International Conference on Artificial Intelligence for Good 2020, 2020
Plant disease detection is an essential factor in increasing agricultural production. Due to the difficulty of disease detection, farmers spray various pesticides on their crops to protect them, causing great harm to crop growth and food standards. Deep learning can offer critical aid in detecting such diseases.
arxiv   +1 more source

SugarChain: Blockchain technology meets Agriculture -- The case study and analysis of the Indian sugarcane farming [PDF]

open access: yes, 2023
Not only in our country and Asia, but the agriculture sector is also lagging all over the world while using new technologies and innovations. Farmers are not getting the accurate price and compensation of their products because of several reasons. The intermediate persons or say middlemen are controlling the prices and product delivery on their own ...
arxiv   +1 more source

Production of polyhydroxybutyrate in sugarcane

open access: yesPlant Biotechnology Journal, 2006
SummaryWe report here the production of the bacterial polyester, polyhydroxybutyrate (PHB), in the crop species sugarcane (Saccharum spp. hybrids). The PHB biosynthesis enzymes of Ralstonia eutropha [β‐ketothiolase (PHAA), acetoacetyl‐reductase (PHAB) and PHB synthase (PHAC)] were expressed in the cytosol or targeted to mitochondria or plastids.
Petrasovits, L. A.   +3 more
openaire   +4 more sources

Surface polysaccharides and quorum sensing are involved in the attachment and survival of Xanthomonas albilineans on sugarcane leaves [PDF]

open access: yes, 2015
Xanthomonas albilineans, the causal agent of sugarcane leaf scald, is a bacterial plant pathogen that is mainly spread by infected cuttings and contaminated harvesting tools.
Bonnot, François   +8 more
core   +1 more source

Nitrogen Fertilizer Recommendations for Sugarcane Production for Sugar on Florida Sand Soils

open access: yesEDIS, 2016
Sands used in sugarcane production in Florida have low levels of organic matter, silt, and clay, and they provide little nitrogen (N) through mineralization of organic matter and possess a low capacity for N retention as a result.
J. Mabry McCray   +2 more
doaj   +5 more sources

Technical efficiency and its determinants in sugarcane production among smallholder sugarcane farmers in Malava sub-county, Kenya

open access: yesAfrican Journal of Agricultural Research, 2020
The aim of the study was to determine the farm level technical efficiency and its determinants among smallholder sugarcane farmers in Malava Sub-county, Western Kenya.
Francis Lekololi Ambetsa   +2 more
semanticscholar   +1 more source

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