Can yield prediction be fully digitilized? A systematic review

N Darra, E Anastasiou, O Kriezi, E Lazarou, D Kalivas… - Agronomy, 2023 - mdpi.com
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

UAS-based remote sensing for agricultural Monitoring: Current status and perspectives

J Wang, S Zhang, I Lizaga, Y Zhang, X Ge… - … and Electronics in …, 2024 - Elsevier
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …

Dynamic maize yield predictions using machine learning on multi-source data

M Croci, G Impollonia, M Meroni, S Amaducci - Remote sensing, 2022 - mdpi.com
Timely yield prediction is crucial for the agri-food supply chain as a whole. However,
different stakeholders in the agri-food sector require different levels of accuracy and lead …

Comparison of PROSAIL model inversion methods for estimating leaf chlorophyll content and LAI using UAV imagery for hemp phenotyping

G Impollonia, M Croci, H Blandinières, A Marcone… - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicle (UAV) remote sensing was used to estimate the leaf area index
(LAI) and leaf chlorophyll content (LCC) of two hemp cultivars during two growing seasons …

YOLO SSPD: A small target cotton boll detection model during the boll-spitting period based on space-to-depth convolution

M Zhang, W Chen, P Gao, Y Li, F Tan… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Cotton yield estimation is crucial in the agricultural process, where the accuracy
of boll detection during the flocculation period significantly influences yield estimations in …

[HTML][HTML] Machine learning for yield prediction in Fergana valley, Central Asia

MS Boori, K Choudhary, R Paringer… - Journal of the Saudi …, 2023 - Elsevier
Accurate yield prediction is essential for growers, researchers, governments, the farming
industry, and policymakers for social peace, food safety, security, and sustainable …

Faba Bean (Vicia faba L.) Yield Estimation Based on Dual-Sensor Data

Y Cui, Y Ji, R Liu, W Li, Y Liu, Z Liu, X Zong, T Yang - Drones, 2023 - mdpi.com
Faba bean is an important member of legumes, which has richer protein levels and great
development potential. Yield is an important phenotype character of crops, and early yield …

Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought …

F Vurro, M Croci, G Impollonia, E Marchetti… - Plants, 2023 - mdpi.com
Monitoring plant growth and development during cultivation to optimize resource use
efficiency is crucial to achieve an increased sustainability of agriculture systems and ensure …

Machine learning applications in forest and biomass supply chain management: a review

J Zhao, J Wang, N Anderson - International Journal of Forest …, 2024 - Taylor & Francis
Forest and biomass crops for bioenergy and bioproducts can promote a sustainable
bioeconomy while effectively reducing greenhouse gas (GHG) emissions to mitigate global …

Early impacts of marginal land‐use transition to Miscanthus on soil quality and soil carbon storage across Europe

M Bertola, E Magenau, E Martani, M Kontek… - GCB …, 2024 - Wiley Online Library
Miscanthus, a C4 perennial rhizomatous grass, is a low‐input energy crop suitable for
marginal land, which cultivation can improve soil quality and promote soil organic carbon …