Climate change impacts on food security-focus on perennial cropping systems and nutritional value

CP Leisner - Plant Science, 2020 - Elsevier
Anthropogenic increases in fossil fuel emissions have been a primary driver of increased
concentrations of atmospheric carbon dioxide ([CO 2]) and other greenhouse gases …

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Applications of deep-learning approaches in horticultural research: a review

B Yang, Y Xu - Horticulture Research, 2021 - academic.oup.com
Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …

Orchard management with small unmanned aerial vehicles: A survey of sensing and analysis approaches

C Zhang, J Valente, L Kooistra, L Guo, W Wang - Precision agriculture, 2021 - Springer
Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …

Sensor-based mechanical weed control: Present state and prospects

J Machleb, GG Peteinatos, BL Kollenda… - … and electronics in …, 2020 - Elsevier
Mechanical weed control in agriculture has advanced in terms of precision and working rate
over the past years. The real-time communication of implements with sensor systems further …

Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow

J Gené-Mola, E Gregorio, FA Cheein, J Guevara… - … and Electronics in …, 2020 - Elsevier
Yield monitoring and geometric characterization of crops provide information about orchard
variability and vigor, enabling the farmer to make faster and better decisions in tasks such as …

[HTML][HTML] Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence

Y Ampatzidis, V Partel, B Meyering… - Computers and Electronics …, 2019 - Elsevier
The implementation of breeding methods requires the creation of a large and genetically
diverse training population. Large-scale experiments are needed for the rapid acquisition of …

Applications of LiDAR in agriculture and future research directions

S Debnath, M Paul, T Debnath - Journal of Imaging, 2023 - mdpi.com
Light detection and ranging (LiDAR) sensors have accrued an ever-increasing presence in
the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors …

[HTML][HTML] Proximal sensing for geometric characterization of vines: A review of the latest advances

H Moreno, D Andújar - Computers and Electronics in Agriculture, 2023 - Elsevier
Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

Field-based high-throughput phenotyping for maize plant using 3D LiDAR point cloud generated with a “Phenomobile”

Q Qiu, N Sun, H Bai, N Wang, Z Fan, Y Wang… - Frontiers in plant …, 2019 - frontiersin.org
With the rapid rising of global population, the demand for improving breeding techniques to
greatly increase the worldwide crop production has become more and more urgent. Most …