AI-Based Prediction of Carrot Yield and Quality on Tropical Agriculture
AgriEngineeringThe adoption of artificial intelligence tools can improve production efficiency in the agroindustry. Our objective was to perform the predictive modeling of carrot yield and quality.
Yara Karine de Lima Silva +2 more
doaj +1 more source
From crop specific to variety specific in crop modeling for the smart farm: A case study with blueberry. [PDF]
PLoS One, 2022 Han GD +5 more
europepmc +1 more source
Risk modeling concepts relating to the design and rating of agricultural insurance contracts [PDF]
The authors identify the key issues and concerns that arise in the design and rating of crop yield insurance plans, with a particular emphasis on production risk modeling.
Goodwin, Barry K., Mahul, Olivier
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Global-scale modeling of nitrogen balances at the soil surface [PDF]
, 2005 This paper provides global terrestrial surface balances of nitrogen (N) at a resolution of 0.5 by 0.5 degree for the years 1961, 1995 and 2050 as simulated by the model WaterGAP-N.
Siebert, Stefan
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ATF4‐mediated stress response as a therapeutic vulnerability in chordoma
Molecular Oncology, EarlyView.We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone +11 more
wiley +1 more source
Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma
Molecular Oncology, EarlyView.Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken +7 more
wiley +1 more source
The Application of Robust Regression to a Production Function Comparison – the Example of Swiss Corn [PDF]
The adequate representation of crop response functions is crucial for agri-environmental modeling and analysis. So far, the evaluation of such functions focused on the comparison of different functional forms.
Robert Finger, Werner Hediger
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Crop modeling defines opportunities and challenges for drought escape, water capture, and yield increase using chilling-tolerant sorghum. [PDF]
Plant Direct, 2021 Raymundo R +3 more
europepmc +1 more source
NON-PARAMETRIC AND SEMI-PARAMETRIC TECHNIQUES FOR MODELING AND SIMULATING CORRELATED, NON-NORMAL PRICE AND YIELD DISTRIBUTIONS: APPLICATIONS TO RISK ANALYSIS IN KANSAS AGRICULTURE [PDF]
Parametric, non-parametric, and semi-parametric approaches are commonly used for modeling correlated distributions. Semi-parametric and non-parametric approaches are used to examine the risk situation for Kansas agriculture.
Featherstone, Allen M. +1 more
core +1 more source
Role of crop residue mulches and their decomposition on soil functions in conservation agriculture : S11.03a -6 [PDF]
, 2012 Core principle of Conservation Agriculture is to maintain soil cover by crop residue mulching or cover crops. Mulching practice affects many agroecosystem services, through water dynamics and C and N transformations (Coppens et al., 2007) and their ...
Akhtar, Iqbal +7 more
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