Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
Machine learning for smart agriculture and precision farming: towards making the fields talk
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …
data tsunami. In addition, man-to-machine digital data handling has magnified the …
Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat
X Xu, Y Zhang - Intelligent Systems in Accounting, Finance and …, 2022 - Wiley Online Library
Agricultural commodity price forecasting represents a key concern for market participants.
We explore the usefulness of neural network modeling for forecasting problems in datasets …
We explore the usefulness of neural network modeling for forecasting problems in datasets …
Price forecasts of ten steel products using Gaussian process regressions
X Xu, Y Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Addressing price forecasting problems is an important exercise to policymakers and market
participants in the resource business sector. In this work, we build Gaussian process …
participants in the resource business sector. In this work, we build Gaussian process …
Forecasting wholesale prices of yellow corn through the Gaussian process regression
B Jin, X Xu - Neural Computing and Applications, 2024 - Springer
For market players and policy officials, commodity price forecasts are crucial problems that
are challenging to address due to the complexity of price time series. Given its strategic …
are challenging to address due to the complexity of price time series. Given its strategic …
[HTML][HTML] Soybean and soybean oil price forecasting through the nonlinear autoregressive neural network (NARNN) and NARNN with exogenous inputs (NARNN–X)
X Xu, Y Zhang - Intelligent Systems with Applications, 2022 - Elsevier
Price forecasting is a key concern for market participants in the agriculture sector. This study
explores usefulness of the nonlinear autoregressive neural network (NARNN) and NARNN …
explores usefulness of the nonlinear autoregressive neural network (NARNN) and NARNN …
Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products
X Xu, Y Zhang - Mineral Economics, 2023 - Springer
Forecasting commodity prices is a vital issue to a wide spectrum of market participants and
policy makers in the metal sector. In this work, the forecast problem is investigated by …
policy makers in the metal sector. In this work, the forecast problem is investigated by …
Corn cash-futures basis forecasting via neural networks
X Xu, Y Zhang - Advances in Computational Intelligence, 2023 - Springer
Cash-futures basis forecasting represents a vital concern for various market participants in
the agricultural sector, which has been rarely explored due to limitations on data and …
the agricultural sector, which has been rarely explored due to limitations on data and …
[HTML][HTML] Accurately mapping global wheat production system using deep learning algorithms
Assessing global food security and developing sustainable production systems need
spatially explicit information on crop harvesting areas and yields; however the available …
spatially explicit information on crop harvesting areas and yields; however the available …
Canola and soybean oil price forecasts via neural networks
X Xu, Y Zhang - Advances in Computational Intelligence, 2022 - Springer
Forecasts of commodity prices are vital issues to market participants and policy-makers.
Those of cooking section oil are of no exception, considering its importance as one of main …
Those of cooking section oil are of no exception, considering its importance as one of main …