Can yield prediction be fully digitilized? A systematic review
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 …
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
UAS-based remote sensing for agricultural Monitoring: Current status and perspectives
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery
Above-ground biomass (AGB) estimation is critical for monitoring crop growth and assessing
yields. Unmanned aerial vehicle (UAV) optical remote sensing technology offers robust …
yields. Unmanned aerial vehicle (UAV) optical remote sensing technology offers robust …
Corn grain yield prediction using UAV-based high spatiotemporal resolution imagery, machine learning, and spatial cross-validation
Food demand is expected to rise significantly by 2050 due to the increase in population;
additionally, receding water levels, climate change, and a decrease in the amount of …
additionally, receding water levels, climate change, and a decrease in the amount of …
Analysis of corn yield prediction potential at various growth phases using a process-based model and deep learning
Y Ren, Q Li, X Du, Y Zhang, H Wang, G Shi, M Wei - Plants, 2023 - mdpi.com
Early and accurate prediction of grain yield is of great significance for ensuring food security
and formulating food policy. The exploration of key growth phases and features is beneficial …
and formulating food policy. The exploration of key growth phases and features is beneficial …
Satellite-enabled enviromics to enhance crop improvement
Enviromics refers to the characterization of micro-and macroenvironments based on large-
scale environmental datasets. By providing genotypic recommendations with predictive …
scale environmental datasets. By providing genotypic recommendations with predictive …
Assessing Maize Yield Spatiotemporal Variability Using Unmanned Aerial Vehicles and Machine Learning
C de Villiers, Z Mashaba-Munghemezulu… - Geomatics, 2024 - mdpi.com
Optimizing the prediction of maize (Zea mays L.) yields in smallholder farming systems
enhances crop management and thus contributes to reducing hunger and achieving one of …
enhances crop management and thus contributes to reducing hunger and achieving one of …
[HTML][HTML] Remote Sensing Data Assimilation in Crop Growth Modeling from an Agricultural Perspective: New Insights on Challenges and Prospects
J Wang, Y Wang, Z Qi - Agronomy, 2024 - mdpi.com
The frequent occurrence of global climate change and natural disasters highlights the
importance of precision agricultural monitoring, yield forecasting, and early warning …
importance of precision agricultural monitoring, yield forecasting, and early warning …
Establishing a knowledge structure for yield prediction in cereal crops using unmanned aerial vehicles
G Mustafa, Y Liu, IH Khan, S Hussain, Y Jiang… - Frontiers in Plant …, 2024 - frontiersin.org
Recently, a rapid advancement in using unmanned aerial vehicles (UAVs) for yield
prediction (YP) has led to many YP research findings. This study aims to visualize the …
prediction (YP) has led to many YP research findings. This study aims to visualize the …
Growth monitoring and yield estimation of maize plant using unmanned aerial vehicle (UAV) in a hilly region
S Sapkota, DR Paudyal - Sensors, 2023 - mdpi.com
More than 66% of the Nepalese population has been actively dependent on agriculture for
their day-to-day living. Maize is the largest cereal crop in Nepal, both in terms of production …
their day-to-day living. Maize is the largest cereal crop in Nepal, both in terms of production …