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Intelligent decision-making framework for agriculture supply chain in emerging economies: Research opportunities and challenges
In emerging economies such as India, Pakistan, and China, the Agricultural Supply Chain
(ASC) holds significant importance. While developed countries have embraced advanced …
(ASC) holds significant importance. While developed countries have embraced advanced …
Corn cash price forecasting with neural networks
X Xu, Y Zhang - Computers and Electronics in Agriculture, 2021 - Elsevier
We explore the forecasting issue in a data set of daily corn cash prices from nearly 500
markets across sixteen states: North Dakota, Iowa, Minnesota, Illinois, Indiana, Ohio …
markets across sixteen states: North Dakota, Iowa, Minnesota, Illinois, Indiana, Ohio …
Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation
Agriculture is the most critical sector for food supply on the earth, and it is also responsible
for supplying raw materials for other industrial productions. Currently, the growth in …
for supplying raw materials for other industrial productions. Currently, the growth in …
[HTML][HTML] Comparing prophet and deep learning to ARIMA in forecasting wholesale food prices
L Menculini, A Marini, M Proietti, A Garinei, A Bozza… - Forecasting, 2021 - mdpi.com
Setting sale prices correctly is of great importance for firms, and the study and forecast of
prices time series is therefore a relevant topic not only from a data science perspective but …
prices time series is therefore a relevant topic not only from a data science perspective but …
Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by web crawler
Y Weng, X Wang, J Hua, H Wang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The sales of agricultural products are an important component of the product supply chain.
The price of agricultural products, a social signal of product supply and demand, is affected …
The price of agricultural products, a social signal of product supply and demand, is affected …
Short‐Term Forecasting of Agriculture Commodities in Context of Indian Market for Sustainable Agriculture by Using the Artificial Neural Network
AK Mahto, MA Alam, R Biswas, J Ahmed… - Journal of Food …, 2021 - Wiley Online Library
Prediction of well‐grounded market information, particularly short‐term forecast of prices of
agricultural commodities, is the essential requirement for the sustainable development of the …
agricultural commodities, is the essential requirement for the sustainable development of the …
[HTML][HTML] Using a novel clustered 3D-CNN model for improving crop future price prediction
Many research studies used statistics to predict food production, distribution and price
trends. Researchers used statistical inference for discovering the relationships of data to …
trends. Researchers used statistical inference for discovering the relationships of data to …
The coconut industry: a review of price forecasting modelling in major coconut producing countries
MGD Abeysekara, KP Waidyarathne - Cord, 2020 - journal.coconutcommunity.org
The global supply and demand of coconuts and coconut-based products have been
increased tremendously over the past decades; hence, the industry has become one of the …
increased tremendously over the past decades; hence, the industry has become one of the …
Recurrent neural network architecture for forecasting banana prices in Gujarat, India
Objectives The forecasting of horticulture commodity prices, such as bananas, has wide-
ranging impacts on farmers, traders and end-users. The considerable volatility in …
ranging impacts on farmers, traders and end-users. The considerable volatility in …
[HTML][HTML] Accurate deep model for electricity consumption forecasting using multi-channel and multi-scale feature fusion CNN–LSTM
X Shao, CS Kim, P Sontakke - Energies, 2020 - mdpi.com
Electricity consumption forecasting is a vital task for smart grid building regarding the supply
and demand of electric power. Many pieces of research focused on the factors of weather …
and demand of electric power. Many pieces of research focused on the factors of weather …