Intelligent decision-making framework for agriculture supply chain in emerging economies: Research opportunities and challenges

T Kalimuthu, P Kalpana, S Kuppusamy… - … and Electronics in …, 2024 - Elsevier
In emerging economies such as India, Pakistan, and China, the Agricultural Supply Chain
(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 …

Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation

M Hasan, MA Marjan, MP Uddin, MI Afjal… - Frontiers in Plant …, 2023 - frontiersin.org
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 …

[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 …

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 …

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 …

[HTML][HTML] Using a novel clustered 3D-CNN model for improving crop future price prediction

L Cheung, Y Wang, ASM Lau, RMC Chan - Knowledge-Based Systems, 2023 - Elsevier
Many research studies used statistics to predict food production, distribution and price
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 …

Recurrent neural network architecture for forecasting banana prices in Gujarat, India

P Kumari, V Goswami, HN, RS Pundir - Plos one, 2023 - journals.plos.org
Objectives The forecasting of horticulture commodity prices, such as bananas, has wide-
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 …