[HTML][HTML] An overview of beef production from pasture and feedlot globally, as demand for beef and the need for sustainable practices increase

PL Greenwood - Animal, 2021 - Elsevier
Beef is a high-quality source of protein that also can provide highly desirable eating
experiences, and demand is increasing globally. Sustainability of beef industries requires …

[HTML][HTML] Internet of Things in arable farming: Implementation, applications, challenges and potential

A Villa-Henriksen, GTC Edwards, LA Pesonen… - Biosystems …, 2020 - Elsevier
Highlights•The role of Internet of Things in arable farming is reviewed.•Internet of Things is
leading arable farming to become data-driven.•Implementation and application are …

[HTML][HTML] Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review

K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

[HTML][HTML] The use of machine learning methods to estimate aboveground biomass of grasslands: A review

TG Morais, RFM Teixeira, M Figueiredo… - Ecological indicators, 2021 - Elsevier
The study of grasslands using machine learning (ML) methods combined with
proximal/remote sensing data (RS) has been steadily increasing in the last decades …

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

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

A review of estimation methods for aboveground biomass in grasslands using UAV

COG Bazzo, B Kamali, C Hütt, G Bareth, T Gaiser - Remote Sensing, 2023 - mdpi.com
Grasslands are one of the world's largest ecosystems, accounting for 30% of total terrestrial
biomass. Considering that aboveground biomass (AGB) is one of the most essential …

Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenoty**

FT Teshome, HK Bayabil, G Hoogenboom… - … and Electronics in …, 2023 - Elsevier
The availability of timely and accurate information about plant conditions is critical for
making informed decisions for maintaining or improving agricultural productivity. However …

[HTML][HTML] Unmanned aircraft system (UAS) technology and applications in agriculture

SC Hassler, F Baysal-Gurel - Agronomy, 2019 - mdpi.com
Numerous sensors have been developed over time for precision agriculture; though, only
recently have these sensors been incorporated into the new realm of unmanned aircraft …

[HTML][HTML] Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop

S Xu, J Atherton, A Riikonen, C Zhang… - Remote Sensing of …, 2021 - Elsevier
Solar-induced Fluorescence (SIF) has an advantage over greenness-based Vegetation
Indices in detecting drought. This advantage is the mechanistic coupling between SIF and …

Above-ground biomass estimation in oats using UAV remote sensing and machine learning

P Sharma, L Leigh, J Chang, M Maimaitijiang, M Caffé - Sensors, 2022 - mdpi.com
Current strategies for phenoty** above-ground biomass in field breeding nurseries
demand significant investment in both time and labor. Unmanned aerial vehicles (UAV) can …