Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.11713
Abstract: BACKGROUND We evaluated different machine learning (ML) models for predicting soybean productivity up to one month in advance for the Matopiba agricultural frontier (States of Maranhão, Tocantins, Piauí, and Bahia). We collected meteorological data on… read more here.
Keywords: machine learning; yield; brazilian cerrado; soybean yield ... See more keywords
GmFULa improves soybean yield by enhancing carbon assimilation without altering flowering time or maturity
Sign Up to like & getrecommendations! Published in 2021 at "Plant Cell Reports"
DOI: 10.1007/s00299-021-02752-y
Abstract: Key message GmFULa improved soybean yield by enhancing carbon assimilation. Meanwhile, different from known yield-related genes, it did not alter flowering time or maturity. Abstract Soybean (Glycine max (L.) Merr.) is highly demanded by a… read more here.
Keywords: time maturity; seed; gmfula; flowering time ... See more keywords
On Projecting Climate Change Impacts on Soybean Yield in Iran: an Econometric Approach
Sign Up to like & getrecommendations! Published in 2019 at "Environmental Processes"
DOI: 10.1007/s40710-019-00400-y
Abstract: Climate changes seem to have adverse impacts on food security. Oilseeds are the second largest food group in the world after cereals. Soybean is the main oilseed crop in Iran mainly cultivated for edible oil… read more here.
Keywords: econometric approach; yield; climate change; soybean yield ... See more keywords
A functionally divergent SOC1 homolog improves soybean yield and latitudinal adaptation
Sign Up to like & getrecommendations! Published in 2022 at "Current Biology"
DOI: 10.1016/j.cub.2022.02.046
Abstract: Soybean (Glycine max) grows in a wide range of latitudes, but it is extremely sensitive to photoperiod, which reduces its yield and ability to adapt to different environments. Therefore, understanding of the genetic basis of… read more here.
Keywords: adaptation; soc1; soc1a soc1b; latitudinal adaptation ... See more keywords
Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning
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DOI: 10.1038/s41597-025-04738-x
Abstract: Soybean is a critical agricultural product in China, with domestic production unable to satisfy the substantial demand, leading to a huge reliance on imports. To support the scientific formulation of agricultural policies and the optimization… read more here.
Keywords: 2001 2020; yield; ensemble learning; soybean yield ... See more keywords
Changes in soybean cultivars released over the past 50 years in southern Brazil
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-021-04043-8
Abstract: On-farm soybean yield has increased considerably in the last 50 years in southern Brazil, but there is still little information about how selection and breeding for yield increase has changed the agronomic attributes of cultivars. The… read more here.
Keywords: soybean yield; southern brazil; seed; years southern ... See more keywords
Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1809736
Abstract: ABSTRACT An accurate estimation of soybean yield while the plants are still in the field is highly necessary for industry applications and decision-making policies related to planning. Remote sensing is a powerful tool, due to… read more here.
Keywords: time; yield; vegetation indices; crop ... See more keywords
Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting
Sign Up to like & getrecommendations! Published in 2024 at "Hungarian Geographical Bulletin"
DOI: 10.15201/hungeobull.72.4.4
Abstract: Crop yield forecasting is critical in modern agriculture to ensure food security, economic stability, and effective resource management. The main goal of this study was to combine historical multisource satellite and environmental datasets with a… read more here.
Keywords: deep learning; yield; model; yield forecasting ... See more keywords
Microclimatic conditions in the canopy strata and its relations with the soybean yield.
Sign Up to like & getrecommendations! Published in 2019 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765201920180066
Abstract: Despite its economic importance, the microclimate in soybean canopies has not yet been studied in detail. Such a study can yield valuable information regarding the interaction of a crop with its environment. In this context,… read more here.
Keywords: microclimatic conditions; strata relations; yield; canopy strata ... See more keywords
Conservation system improves soil microbial quality and increases soybean yield in the Northeastern Cerrado
Sign Up to like & getrecommendations! Published in 2020 at "Bragantia"
DOI: 10.1590/1678-4499.20200117
Abstract: The conservation tillage systems is based on the surface protection by crop residue and reduced soil disturbance. These two principles can favor the soil quality and promote sustainable agricultural systems. The study was developed with… read more here.
Keywords: quality; millet; soil microbial; conservation ... See more keywords
GAUSSIAN SPATIAL LINEAR MODEL OF SOYBEAN YIELD USING BOOTSTRAP METHODS
Sign Up to like & getrecommendations! Published in 2018 at "Engenharia Agricola"
DOI: 10.1590/1809-4430-eng.agric.v38n1p110-116/2018
Abstract: This study aims to quantify the uncertainties associated to the parameters of a Gaussian spatial linear model (GSLM) and the assumption of normality residuals in the modeling of the spatial dependence of the soybean yield… read more here.
Keywords: linear model; spatial linear; model; soybean yield ... See more keywords