Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data
Remote Sensing, 2022 Accurate prediction of food crop yield is of great significance for global food security and regional trade stability. Since remote sensing data collected from unmanned aerial vehicle (UAV) platforms have the features of flexibility and high resolution ...
Chaofa Bian +9 more
doaj +1 more source
A Multispectral UAV Imagery Dataset of Wheat, Soybean and Barley Crops in East Kazakhstan
Data, 2023 This study introduces a dataset of crop imagery captured during the 2022 growing season in the Eastern Kazakhstan region. The images were acquired using a multispectral camera mounted on an unmanned aerial vehicle (DJI Phantom 4).
Almasbek Maulit +4 more
doaj +1 more source
Crop yield prediction integrating genotype and weather variables using deep learning [PDF]
, 2021 Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production ...
Ganapathysubramanian, Baskar +5 more
core
Guidelines for Machine Learning Yield Prediction from Small-Size Literature Dataset [PDF]
, 2022 Synthetic yield prediction using machine learning is intensively studied. Previous work focused on two categories of datasets: High-Throughput Experimentation data, as an ideal case study and datasets extracted from proprietary databases, which are known
Rodolphe, Vuilleumier +5 more
core +2 more sources
High-Resolution Flowering Index for Canola Yield Modelling
Remote Sensing, 2022 Canola (Brassica napus), with its prominent yellow flowers, has unique spectral characteristics and necessitates special spectral indices to quantify the flowers. This study investigated four spectral indices for high-resolution RGB images for segmenting
Hansanee Fernando +6 more
doaj +1 more source
Remote Sensing, 2022 This paper presents the development and update of a multi-scale yield prediction model for processing tomatoes. The study was carried out under the EU-funded programme “Support to Development of a Rural Business Information System (RBIS)”, and the ...
Vasilis Psiroukis +5 more
doaj +1 more source
The prediction of saleable meat yield in lamb carcasses [PDF]
, 1996 A total of 281 lamb carcasses covering three weight groups (18–22.9, 23–25.9 and 26–30 kg) and fatness (< 3 mm, 3–5 mm and > 5 mm) were used to determine the usefulness of several carcass measurements for predicting saleable meat yield.
Price, M. A. +3 more
core +1 more source
Reaction classification and yield prediction using the differential reaction fingerprint DRFP [PDF]
, 2021 Predicting the nature and outcome of reactions using computational methods is a crucial tool to accelerate chemical research. The recent application of deep learning-based learned fingerprints to reaction classification and reaction yield prediction has ...
Reymond, Jean-Louis +9 more
core +3 more sources
Developing sugar cane yield prediction algorithms from satellite imagery [PDF]
, 2012 THE RESEARCH PRESENTED in this paper discusses the accuracies of remote sensing and GIS as yield prediction tools at both a regional and crop scale over three Australian cane growing regions; Bundaberg, Burdekin and the Herbert.
Robson, Andrew +3 more
core +4 more sources
Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging
Agronomy, 2019 An early and precise yield estimation in intensive managed grassland is mandatory for economic management decisions. RGB (red, green, blue) cameras attached on an unmanned aerial vehicle (UAV) represent a promising non-destructive technology for the ...
Esther Grüner +2 more
doaj +1 more source