Results 51 to 60 of about 2,158 (165)

Estimating methane emission by using vegetation indices from LANDSAT-5 TM : a case study of Amphoe Bang Num Priao, Area, Chacheongsao Province

, 2011
วิทยานิพนธ์ (วท.ม. (การจัดการสิ่งแวดล้อม))--สถาบันบัณฑิตพัฒนบริหารศาสตร์, 2011วัตถุประสงค์ของการศึกษาครั้งนี้เพื่อ1) เพื่อศึกษาค่าการสะท้อนพลังงานของค่าดัชนีพืช พรรณของข้าวตั้งแต่เริ่มปลูกจนกระทั่งเก็บเกี่ยวด้วยภาพถ่ายดาวเทียม LANDSAT-5 TM 2) เพื่อศ ...
คมกฤษณ์ คีรีรมย์
core   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

Yield predictions of four hybrids of maize (Zea mays) using multispectral images obtained from RPAS in the coast of Peru [PDF]

, 2022
Early assessment of crop development is a key aspect of precision agriculture. Shortening the time of response before a deficit of irrigation, nutrients and damage by diseases is one of the usual concerns in agriculture.
Arbizu Berrocal, Carlos Irvin, Barboza Castillo, Elgar, Quille Mamani, Javier Alvaro, Saravia Navarro, David, Porras Jorge, Rossana, Salazar Coronel, Wilian, Valqui Valqui, Lamberto, Corredor Arizapana, Flor Anita, Vásquez Pérez, Héctor Vladimir   +8 more
core   +1 more source

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

Potential of chlorophyll fluorescence and VIS/NIR spectroscopy measurement use for the detection of nitrogen content and disease infection of apple leaves

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011
A possibility of using spectral methods for determining a nutritional status and detecting pathogens in apple-tree cvs. ’Jonagold’ and ’Idared’ was verified in an orchard and pot experiments in 2007–2010.
Václava Spáčilová, Ivana Šafránková   +1 more
doaj   +1 more source

High-throughput phenotyping to detect anthocyanins, chlorophylls, and carotenoids in red lettuce germplasm

International Journal of Applied Earth Observations and Geoinformation, 2021
Some plant pigments are strong antioxidants and benefit human health. Given their low cost and popularity, biofortified lettuce cultivars can promote consumption of these compounds.
Andressa Alves Clemente, Gabriel Mascarenhas Maciel, Ana Carolina Silva Siquieroli, Rodrigo Bezerra de Araujo Gallis, Lucas Medeiros Pereira, Jéssyca Gonçalves Duarte   +5 more
doaj   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

ESTIMASI KANDUNGAN UNSUR HARA KALIUM DAN MAGNESIUM PADA TANAMAN NANAS (Ananas comosus (L) Merr.) Menggunakan Unmanned Aerial Vehicle (UAV) DI PT. GREAT GIANT PINEAPPLE

JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2018
Central Lampung is one of the areas that produce a lot of pineapple. Pineapple plants require potassium and magnesium nutrients to produce optimal fruit.
Lukman Mei Widitya, S Sudarto, Aditya Nugraha Putra, Dwi Okiyanto   +3 more
doaj  

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner, Judith Atieno, Sara Blake, Marzena Krysinska‐Kaczmarek, Chris Brien, Mohsen Khani, Kenneth Clarke, Darren Plett, Jennifer Davidson, Bettina Berger   +9 more
wiley   +1 more source