Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities

SO Araújo, RS Peres, J Barata, F Lidon, JC Ramalho - Agronomy, 2021 - mdpi.com
Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

Forecasting yield by integrating agrarian factors and machine learning models: A survey

D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …

Big data and ai revolution in precision agriculture: Survey and challenges

SA Bhat, NF Huang - Ieee Access, 2021 - ieeexplore.ieee.org
Sustainable agricultural development is a significant solution with fast population
development through the use of information and communication (ICT) in precision …

A survey towards an integration of big data analytics to big insights for value-creation

MK Saggi, S Jain - Information Processing & Management, 2018 - Elsevier
Abstract Big Data Analytics (BDA) is increasingly becoming a trending practice that
generates an enormous amount of data and provides a new opportunity that is helpful in …

Big data in construction: current applications and future opportunities

HS Munawar, F Ullah, S Qayyum… - Big Data and Cognitive …, 2022 - mdpi.com
Big data have become an integral part of various research fields due to the rapid
advancements in the digital technologies available for dealing with data. The construction …

[HTML][HTML] Efficiency under different methods for incorporating undesirable outputs in an LCA+ DEA framework: A case study of winter wheat production in Poland

SH Pishgar-Komleh, T Zylowski, S Rozakis… - Journal of environmental …, 2020 - Elsevier
Incorporating undesirable outputs in the operational assessments through the integration of
Life Cycle Assessment (LCA) and Data Envelopment Analysis (DEA) has received great …

Innovation of agricultural economic management in the process of constructing smart agriculture by big data

Y Su, X Wang - Sustainable Computing: Informatics and Systems, 2021 - Elsevier
With the introduction and popularization of the concept of smart agriculture, smart agriculture
has become the future direction of agricultural development, and how to promote the …

Digital technology in agriculture: A review of issues, applications and methodologies

X Du, X Wang, P Hatzenbuehler - China Agricultural Economic …, 2023 - emerald.com
Purpose The purpose of this paper is to show the impact of digital agriculture on food supply
chain, research trend, emphasis and implications for future research. Design/methodology …

Evaluating data mining classification methods performance in internet of things applications

MA Sulaiman - Journal of Soft Computing and Data Mining, 2020 - penerbit.uthm.edu.my
The world is passing through the stage of the superiority of science and technology. The
impact of this superiority in human life cannot be hidden. There is no doubt that the societies …

Crop yield prediction and efficient use of fertilizers

S Bhanumathi, M Vineeth… - … on Communication and …, 2019 - ieeexplore.ieee.org
India being an agriculture country, its economy predominantly depends on agriculture yield
growth and agro-industry products. Data Mining is an emerging research field in crop yield …