[HTML][HTML] Smart applications and digital technologies in viticulture: A review

J Tardaguila, M Stoll, S Gutiérrez, T Proffitt… - Smart Agricultural …, 2021 - Elsevier
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

A systematic review of radiative transfer models for crop yield prediction and crop traits retrieval

RAF Ishaq, G Zhou, C Tian, Y Tan, G Jing, H Jiang - Remote Sensing, 2023 - mdpi.com
Radiative transfer models (RTMs) provide reliable information about crop yield and traits
with high resource efficiency. In this study, we have conducted a systematic literature review …

Monitoring the photosynthetic performance of grape leaves using a hyperspectral-based machine learning model

Z Yang, J Tian, Z Wang, K Feng - European Journal of Agronomy, 2022 - Elsevier
Photosynthesis is a direct expression of the crop growth status and an important indicator
predicting yield and quality. Rapid and accurate monitoring of the dynamics of …

Non‐destructive prediction of total soluble solids and titratable acidity in Kyoho grape using hyperspectral imaging and deep learning algorithm

M Xu, J Sun, J Cheng, K Yao, X Wu… - International Journal of …, 2023 - Wiley Online Library
Total soluble solids (TSS) and titratable acidity (TA) are essential quality properties for
postharvest commercialisation of grapes. This study aimed to estimate the TSS and TA in …

Detecting the minimum limit on wheat stripe rust in the latent period using proximal remote sensing coupled with duplex real-time PCR and machine learning

Q Liu, T Sun, X Wen, M Zeng, J Chen - Plants, 2023 - mdpi.com
Wheat stripe rust (WSR) is an airborne disease that causes severe damage to wheat. The
rapid and early detection of WSR is essential for the prevention and control of this disease …

Assessing grapevine biophysical parameters from unmanned aerial vehicles hyperspectral imagery

A Matese, SF Di Gennaro, G Orlandi, M Gatti… - Frontiers in Plant …, 2022 - frontiersin.org
Over the last 50 years, many approaches for extracting plant key parameters from remotely
sensed data have been developed, especially in the last decade with the spread of …

Water availability affects the capability of reflectance indices to estimate berry yield and quality attributes in rain-fed vineyards

L Serrano, G Gorchs - Agronomy, 2022 - mdpi.com
Remote sensing methods are known to provide estimates of berry quality. However,
previous studies have shown that the Normalized Difference Vegetation Index (NDVI) failed …

Early prediction of Shiraz wine quality based on small volatile compounds in grapes

J Luo, J Selby-Pham, K Wise, Y Wu… - Australian Journal of …, 2023 - Wiley Online Library
Wine producers perform early wine quality prediction based on berry morphology, the taste
of the berry and the measurement of basic chemical parameters. Incorporating analysis on …

[HTML][HTML] Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review

YE García-Vera, A Polochè-Arango… - Sustainability, 2024 - mdpi.com
Originally, the use of hyperspectral images was for military applications, but their use has
been extended to precision agriculture. In particular, they are used for activities related to …

Imaging technology for high-throughput plant phenotyping

J Zhou, CN Vong, J Zhou - … , Data Managing, and Control Technologies for …, 2022 - Springer
Plant breeding is one of the primary technologies that increase crop production, improve
food and feed quality, and enhance their resilience to adverse environments. Modern plant …