Plant disease diagnosis using deep learning based on aerial hyperspectral images: A review

LW Kuswidiyanto, HH Noh, X Han - Remote Sensing, 2022 - mdpi.com
Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

Utilization of spectral indices for high-throughput phenotyping

R Tayade, J Yoon, L Lay, AL Khan, Y Yoon, Y Kim - Plants, 2022 - mdpi.com
The conventional plant breeding evaluation of large sets of plant phenotypes with precision
and speed is very challenging. Thus, consistent, automated, multifaceted, and high …

Hyperspectral indices data fusion-based machine learning enhanced by MRMR algorithm for estimating maize chlorophyll content

A Nagy, A Szabó, A Elbeltagi, GS Nxumalo… - Frontiers in Plant …, 2024 - frontiersin.org
Accurate estimation of chlorophyll is essential for monitoring maize health and growth, for
which hyperspectral imaging provides rich data. In this context, this paper presents an …

Transformer-Based hyperspectral image analysis for phenotyping drought tolerance in blueberries

MH Rahman, S Busby, S Ru, S Hanif… - … and Electronics in …, 2025 - Elsevier
Drought-induced stress significantly impacted blueberry production due to the plants'
inefficient water regulation mechanisms to maintain yield and fruit quality under drought …

Porous plant form-induced amplification of evapotranspiration for enhanced cooling in vertical greenery systems

I Shah, SK Lau, V Sekaran, A Ghahramani - Building and Environment, 2023 - Elsevier
Abstract Vertical Greenery Systems (VGS) installed on building façades have recently
gained significant attention for its urban cooling potentials. While current research primarily …

[HTML][HTML] A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring

N Aierken, B Yang, Y Li, P Jiang, G Pan, S Li - Computers and Electronics in …, 2024 - Elsevier
Cotton is one of the world's most economically significant crops. Evaluating and monitoring
cotton crop growth play vital roles in precision agriculture. Unmanned aerial vehicle (UAV) …

[HTML][HTML] Impact of water salinity levels on the spectral behavior and yield of tomatoes in hydroponics

EK Tola, KA Al-Gaadi, R Madugundu, VC Patil… - Journal of King Saud …, 2023 - Elsevier
Abstract In Saudi Arabia, irrigation water is mainly obtained from aquifers and is mostly
characterized by moderate to high levels of salinity. Hence, detailed information on crop …

Early Detection of Potential Infestation by Capnodis tenebrionis (L.) (Coleoptera: Buprestidae), in Stone and Pome Fruit Orchards, Using Multispectral Data from a …

E Arapostathi, C Panopoulou, A Antonopoulos… - Agronomy, 2023 - mdpi.com
Wood-boring insect pests pose a significant threat to orchards, potentially leading to tree
mortality. In the initial stages of infestation, no visible symptoms are apparent, but as …

Processing and classification of landsat and sentinel images for oil palm plantation detection

MAA Asming, AM Ibrahim, IM Abir - Remote Sensing Applications: Society …, 2022 - Elsevier
The increasing demand for remote sensing, along with the advancement of technology, has
led to the development of robust, sensible, and user-friendly products that can utilise …

Application of parallel factor analysis (PARAFAC) to the regional characterisation of vineyard blocks using remote sensing time series

E Lopez-Fornieles, G Brunel, N Devaux, JM Roger… - Agronomy, 2022 - mdpi.com
Monitoring wine-growing regions and maximising the value of production based on their
region/local specificities requires accurate spatial and temporal monitoring. The increasing …