Advances in unmanned aerial system remote sensing for precision viticulture

A Sassu, F Gambella, L Ghiani, L Mercenaro, M Caria… - Sensors, 2021 - mdpi.com
New technologies for management, monitoring, and control of spatio-temporal crop
variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors …

Yield sensing technologies for perennial and annual horticultural crops: A review

L Longchamps, B Tisseyre, J Taylor, L Sagoo… - Precision …, 2022 - Springer
Yield maps provide a detailed account of crop production and potential revenue of a farm.
This level of details enables a range of possibilities from improving input management …

Comparison of satellite and UAV-based multispectral imagery for vineyard variability assessment

A Khaliq, L Comba, A Biglia, D Ricauda Aimonino… - Remote Sensing, 2019 - mdpi.com
In agriculture, remotely sensed data play a crucial role in providing valuable information on
crop and soil status to perform effective management. Several spectral indices have proven …

Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture

L Comba, A Biglia, DR Aimonino, P Gay - Computers and electronics in …, 2018 - Elsevier
An effective management of precision viticulture processes relies on robust crop monitoring
procedures and, in the near future, to autonomous machine for automatic site-specific crop …

A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery

LP Osco, MS de Arruda, DN Gonçalves, A Dias… - ISPRS Journal of …, 2021 - Elsevier
Accurately mapping croplands is an important prerequisite for precision farming since it
assists in field management, yield-prediction, and environmental management. Crops are …

UAV and machine learning based refinement of a satellite-driven vegetation index for precision agriculture

V Mazzia, L Comba, A Khaliq, M Chiaberge, P Gay - Sensors, 2020 - mdpi.com
Precision agriculture is considered to be a fundamental approach in pursuing a low-input,
high-efficiency, and sustainable kind of agriculture when performing site-specific …

Leaf Area Index evaluation in vineyards using 3D point clouds from UAV imagery

L Comba, A Biglia, D Ricauda Aimonino, C Tortia… - Precision …, 2020 - Springer
Abstract The Leaf Area Index (LAI) is an ecophysiology key parameter characterising the
canopy-atmosphere interface where most of the energy fluxes are exchanged. However …

TasselNetV2+: A fast implementation for high-throughput plant counting from high-resolution RGB imagery

H Lu, Z Cao - Frontiers in plant science, 2020 - frontiersin.org
Plant counting runs through almost every stage of agricultural production from seed
breeding, germination, cultivation, fertilization, pollination to yield estimation, and harvesting …

[HTML][HTML] A proposed plant classification framework for smart agricultural applications using UAV images and artificial intelligence techniques

SG Eladl, AY Haikal, MM Saafan… - Alexandria Engineering …, 2024 - Elsevier
Abstract Utilizing Wireless Sensor Networks (WSNs), Internet of Things (IoTs) sensors, and
Unmanned Aerial Vehicles (UAVs), in conjunction with optimization techniques and …

A review of the issues, methods and perspectives for yield estimation, prediction and forecasting in viticulture

C Laurent, B Oger, JA Taylor, T Scholasch… - European Journal of …, 2021 - Elsevier
Grapevine yield is defined as the quantity of harvest, expressed as either grape mass or
wine volumeunits, which has been collected per surface unit are and per crop cycle. The …