From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector
Although several food‐related fields have yet to fully grasp the speed and breadth of the
fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors …
fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors …
Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India
Accurately predicting agricultural commodity prices is crucial for India's economy. Traditional
parametric models struggle with stringent assumptions, while machine learning (ML) …
parametric models struggle with stringent assumptions, while machine learning (ML) …
[HTML][HTML] The digital future of farming: a bibliometric analysis of big data in smart farming research
Recent advancement of technology in the analytics of big data has sparked a transformative
revolution in smart agriculture, enabling farmers to make informed decisions, optimize …
revolution in smart agriculture, enabling farmers to make informed decisions, optimize …
Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks
P Pandit, A Sagar, B Ghose, M Paul, O Kisi… - Scientific Reports, 2024 - nature.com
Improving the forecasting accuracy of agricultural commodity prices is critical for many
stakeholders namely, farmers, traders, exporters, governments, and all other partners in the …
stakeholders namely, farmers, traders, exporters, governments, and all other partners in the …
[HTML][HTML] Forecasting Flower Prices by Long Short-Term Memory Model with Optuna
The oriental lily 'Casa Blanca'is one of the most popular and high-value flowers. The period
for kee** these flowers refrigerated is limited. Therefore, forecasting the prices of oriental …
for kee** these flowers refrigerated is limited. Therefore, forecasting the prices of oriental …
Forecasting of Cryptocurrency Price and Financial Stability: Fresh Insights based on Big Data Analytics and Deep Learning Artificial Intelligence Techniques
J Bouslimi, S Boubaker, K Tissaoui - Engineering, Technology & Applied …, 2024 - etasr.com
This paper evaluates the performance of the Long Short-Term Memory (LSTM) deep
learning algorithm in forecasting Bitcoin and Ethereum prices during the COVID-19 …
learning algorithm in forecasting Bitcoin and Ethereum prices during the COVID-19 …
A Blockchain Semantic-based Approach for Secure and Traceable Agri-Food Supply Chain
Ensuring food security is crucial for maintaining food quality and enhancing consumer
services by guaranteeing both safety and satisfaction. However, traditional methods to …
services by guaranteeing both safety and satisfaction. However, traditional methods to …
Türkiye'de Tahıl Üretiminin Tahminlemesi: Karşılaştırmalı Analiz
Tarım, Türkiye'de hayati bir sektör olmuş ve ülkenin ekonomik ve sosyal yapısına önemli
katkılarda bulunmuştur. Bu çalışma, çeşitli tahmin modelleri kullanarak 2023-2030 yılları …
katkılarda bulunmuştur. Bu çalışma, çeşitli tahmin modelleri kullanarak 2023-2030 yılları …
Parts-of-speech tagger for Sindhi language using deep neural network architecture
AA Memon, S Hina, AK Kazi… - … Research Journal Of …, 2024 - search.informit.org
Language is a fundamental medium for human communication, encompassing spoken and
written forms, each governed by grammatical rules. Sindhi, one of the oldest languages, is …
written forms, each governed by grammatical rules. Sindhi, one of the oldest languages, is …
Empirical Evidence on Market Structure in Selected Agricultural Commodity Markets Pre-and Post-†œGreat Recessionâ€
PA Cartwright - Review of Pacific Basin Financial Markets and …, 2024 - ideas.repec.org
This paper explores the cointegration between agricultural commodity prices, crude oil
prices and exchange rates. Vector autoregressions (VAR) or vector error correction models …
prices and exchange rates. Vector autoregressions (VAR) or vector error correction models …