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 …
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer–a case study of small farmlands in the South of China
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …
precision management, policy and decision making, and marketing. The aim of this study is …
[HTML][HTML] Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery
Traditional plant breeding based on selection for grain yield is time-consuming and costly;
therefore, new innovative methods are in high demand to reduce costs and accelerate …
therefore, new innovative methods are in high demand to reduce costs and accelerate …
High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: Feasibility and validation
Plant height (PH) is an essential trait in the screening of most crops. While in crops such as
wheat, medium stature helps reduce lodging, tall plants are preferred to increase total above …
wheat, medium stature helps reduce lodging, tall plants are preferred to increase total above …
Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava …
Background Rapid non-destructive measurements to predict cassava root yield over the full
growing season through large numbers of germplasm and multiple environments is a huge …
growing season through large numbers of germplasm and multiple environments is a huge …
Evaluation of UAV-derived multimodal remote sensing data for biomass prediction and drought tolerance assessment in bioenergy sorghum
Screening for drought tolerance is critical to ensure high biomass production of bioenergy
sorghum in arid or semi-arid environments. The bottleneck in drought tolerance selection is …
sorghum in arid or semi-arid environments. The bottleneck in drought tolerance selection is …
Understanding growth dynamics and yield prediction of sorghum using high temporal resolution UAV imagery time series and machine learning
Unmanned aerial vehicles (UAV) carrying multispectral cameras are increasingly being
used for high-throughput phenotyping (HTP) of above-ground traits of crops to study genetic …
used for high-throughput phenotyping (HTP) of above-ground traits of crops to study genetic …
Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery
K Tatsumi, N Igarashi, X Mengxue - Plant Methods, 2021 - Springer
Background The objective of this study is twofold. First, ascertain the important variables that
predict tomato yields from plant height (PH) and vegetation index (VI) maps. The maps were …
predict tomato yields from plant height (PH) and vegetation index (VI) maps. The maps were …
Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia
Abstract Machine learning (ML) algorithms perform better than classical statistical
approaches to explore hidden nonlinear relationships. In this context, the goal of this …
approaches to explore hidden nonlinear relationships. In this context, the goal of this …
Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics
A Marzougui, RJ McGee, S Van Vleet… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Remote sensing using unmanned aerial systems (UAS) are prevalent for
phenomics and precision agricultural applications. The high-resolution data for these …
phenomics and precision agricultural applications. The high-resolution data for these …