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Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Impacts of urbanization and agricultural development on observed changes in surface air temperature over mainland China from 1961 to 2006

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Stochastic Estimation of Potential and Depleted Productivity of Soybean Grain and Oil

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Modelling and measurement of water productivity and total evaporation in a dryland soybean crop

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Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil

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Effects of irrigation regime on the growth and yield of irrigated soybean in temperate humid climatic conditions

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Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

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Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm

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An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data

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Soybean yield prediction from UAV using multimodal data fusion and deep learning

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Randomizing Outputs to Increase Prediction Accuracy

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Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms

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Self-Organising and Self-Learning Model for Soybean Yield Prediction

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MÁQUINA DE VETORES DE SUPORTE PARA ESTIMAR A PRODUTIVIDADE DA SOJA

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County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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