[HTML][HTML] The digitization of agricultural industry–a systematic literature review on agriculture 4.0

R Abbasi, P Martinez, R Ahmad - Smart Agricultural Technology, 2022 - Elsevier
Agriculture is considered one of the most important sectors that play a strategic role in
ensuring food security. However, with the increasing world's population, agri-food demands …

Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

R Sharma, SS Kamble, A Gunasekaran… - Computers & Operations …, 2020 - Elsevier
Agriculture plays an important role in sustaining all human activities. Major challenges such
as overpopulation, competition for resources poses a threat to the food security of the planet …

A comprehensive survey of the recent studies with UAV for precision agriculture in open fields and greenhouses

MF Aslan, A Durdu, K Sabanci, E Ropelewska… - Applied Sciences, 2022 - mdpi.com
The increasing world population makes it necessary to fight challenges such as climate
change and to realize production efficiently and quickly. However, the minimum cost …

A review on UAV-based applications for precision agriculture

DC Tsouros, S Bibi, PG Sarigiannidis - Information, 2019 - mdpi.com
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

Unmanned aerial vehicles in agriculture: A review of perspective of platform, control, and applications

J Kim, S Kim, C Ju, HI Son - Ieee Access, 2019 - ieeexplore.ieee.org
For agricultural applications, regularized smart-farming solutions are being considered,
including the use of unmanned aerial vehicles (UAVs). The UAVs combine information and …

A review of UAV monitoring in mining areas: Current status and future perspectives

H Ren, Y Zhao, W Xiao, Z Hu - International Journal of Coal Science & …, 2019 - Springer
With the emergence and development of unmanned aerial vehicles (UAVs), different
sensors have become more miniaturized and intelligent. UAVs equipped with various …

Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications

Z Zhou, Y Majeed, GD Naranjo… - … and Electronics in …, 2021 - Elsevier
With the increasing global water scarcity, efficient assessment methods for crop water stress
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …

A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping

L Feng, S Chen, C Zhang, Y Zhang, Y He - Computers and electronics in …, 2021 - Elsevier
High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …

Remote sensing and machine learning for crop water stress determination in various crops: a critical review

SS Virnodkar, VK Pachghare, VC Patil, SK Jha - Precision Agriculture, 2020 - Springer
The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …