Results 61 to 70 of about 2,158 (165)

MENGETAHUI FASE TUMBUH JAGUNG MENGGUNAKAN ALGORITMA NDVI, TSAVI DAN GNDVI PADA CITRA LANDSAT (Studi Kasus : Kabupaten Malang, Jawa Timur)

, 2017
Jagung termasuk bahan pangan penting karena merupakan komoditas dan sumber karbohidrat utama kedua setelah beras. Selama lebih dari 30 tahun, penginderaan jauh telah dibayangkan sebagai sumber informasi yang berharga untuk pengelolaan tanaman. Normalized
Murdiono, Ahmad
core   +1 more source

Canola yield prediction and genotype selection using uncrewed aerial system multispectral imagery and machine learning models

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluation and selection of canola breeding lines across multiple years and locations are vital for variety development. However, accurately measuring canola (Brassica napus L.) yield under field conditions is challenging due to end‐of‐season events such as rain, windstorms, and hail, as well as variability in plant maturity and pod shattering.
Mohammad Jony, Cristhian Perdigon, Md Fahad Hasan, Paulo Flores, Mukhlesur Rahman   +4 more
wiley   +1 more source

Estimation of Nitrogen Content Using Green Normalized Difference Vegetation Index (GNDVI) in Sugarcane: Estimasi Kandungan Nitrogen Menggunakan Metode Green Normalized Difference Vegetation Indeks (GNDVI) di Tanaman Tebu

Sugarcane is one of the most widely cultivated plantation crops in Indonesia, but production has declined, particularly in Kapanewon Sedayu, Bantul, due to a suspected nitrogen deficiency. Nitrogen is required for the formation of buds, leaves, and stems.
Daffa Dhiya Ulhaq, Sari Virgawati
core   +1 more source

Exploring the relationship between remote sensing-based vegetation indices and land surface temperature through quantitative analysis [PDF]

Journal of the Bulgarian Geographical Society
In an era of rapid urbanization, understanding the complex relationship between vegeta-tion dynamics and land surface temperature (LST) is crucial for addressing the challeng-es posed by urban heat island (UHI) and promoting sustainable urban development.
Ibrahim Olatunji Raufu
doaj   +3 more sources

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir, Ahmet Rıza Ağır, Burak Aktürk, Nida Selen Baysal, Adem Dogan, Aaron J. DeSalvio, Mustafa A. Arik, Yasin Topcu, Alper Adak   +8 more
wiley   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

Estudio de índices de vegetación a partir de imágenes aéreas tomadas desde UAS/RPAS y aplicaciones de éstos a la agricultura de precisión. [PDF]

, 2015
El presente trabajo pretende mostrar la utilidad de los UAS / RPAS, (Sistemas aéreos no pilotados / sistemas aéreos pilotados remotamente) para realizar trabajos de agricultura de precisión, además de ver la gran utilidad de los sistemas de información ...
Díaz García-Cervigón,, Juan José
core   +1 more source

Predictive models of seed yield in intermediate wheatgrass (Thinopyrum intermedium): The added value of a time series of multispectral imagery in semiarid environments

Agronomy Journal, Volume 118, Issue 5, September/October 2026.
Abstract Accurate estimation of seed yield in perennial grains like Thinopyrum intermedium (intermediate wheatgrass [IWG]) remains a challenge due to high interannual and spatial variability of this important trait. We evaluated the potential of before‐harvest unmanned aerial vehicle (UAV)‐derived multispectral vegetation indices to predict IWG seed ...
Claire Spickermann, Efrain Duarte, Steve Larson, Zayne Maughan, Alexander Hernandez   +4 more
wiley   +1 more source

Analizar los NDVI (indice de vegetacion normalizados) con los GNDVI (índice de vegetación diferenciada normalizada verde) mediante imágenes lansadt 8 (satélite de observación terrestre) en la parroquia de Mulaló, Latacunga 2018. [PDF]

, 2018
The Project was based on the analysis factor son conservation processes on the biodiversity due to the analysis of normalized index vegetation and the normalized different green vegetation in the parish Mulalo stablished the vegetation through pictures ...
Pacheco Gallardo, Luis Lautaro
core   +2 more sources

A hierarchical unmanned aerial system–light detection and ranging–satellite learning framework for scaling heterogeneous vegetation cover mapping in rangelands

Grassland Research, Volume 5, Issue 3, Page 245-269, September 2026.
This study shows how drones, light detection and ranging (LiDAR), and satellites can be combined to map vegetation in rangelands more effectively. Drone imagery captures fine‐scale plant details, LiDAR adds information about vegetation structure and height, and satellite data allow the mapping approach to be expanded across larger areas.
Nishat Shermin, Narcisa G. Pricope, Padmanava Dash, Javier M. Osorio Leyton   +3 more
wiley   +1 more source