[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems

J Jung, M Maeda, A Chang, M Bhandari… - Current Opinion in …, 2021 - Elsevier
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …

Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation

L Luo, S Sun, J Xue, Z Gao, J Zhao, Y Yin, F Gao… - Agricultural …, 2023 - Elsevier
CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …

[HTML][HTML] Integrating climate and satellite remote sensing data for predicting county-level wheat yield in China using machine learning methods

W Zhou, Y Liu, ST Ata-Ul-Karim, Q Ge, X Li… - International Journal of …, 2022 - Elsevier
Early and reliable crop yield prediction on a large scale is imperative for making in-season
crop management decisions as well as for ensuring global food security. The integrated use …

[HTML][HTML] Co-designing a landscape experiment to investigate diversified cropping systems

K Grahmann, M Reckling, I Hernández-Ochoa… - Agricultural …, 2024 - Elsevier
CONTEXT Intensive food and feed production in sole-cropped, large fields with high fertilizer
and pesticide inputs to achieve high yields, has contributed to detrimental environmental …

Winter wheat yield prediction using integrated Landsat 8 and Sentinel-2 vegetation index time-series data and machine learning algorithms

H Zhang, Y Zhang, K Liu, S Lan, T Gao, M Li - Computers and Electronics in …, 2023 - Elsevier
Timely and accurate forecasting of winter wheat yield is important to crop management, food
security, and sustainable agricultural development. Unfortunately, the process of predicting …

Normalizing the local incidence angle in sentinel-1 imagery to improve leaf area index, vegetation height, and crop coefficient estimations

G Kaplan, L Fine, V Lukyanov, VS Manivasagam… - Land, 2021 - mdpi.com
Public domain synthetic-aperture radar (SAR) imagery, particularly from Sentinel-1, has
widened the scope of day and night vegetation monitoring, even when cloud cover limits …

Combining novel technologies with interdisciplinary basic research to enhance horticultural crops

X Jiang, W Zhang, AR Fernie, W Wen - The Plant Journal, 2022 - Wiley Online Library
Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea
trees (Melaleuca alternifolia). They produce a variety of nutrients for the daily human diet in …

[HTML][HTML] Data-driven estimation of actual evapotranspiration to support irrigation management: Testing two novel methods based on an unoccupied aerial vehicle and …

O Rozenstein, L Fine, N Malachy, A Richard… - Agricultural Water …, 2023 - Elsevier
Recent advances in remote sensing and machine learning show potential for improving
irrigation use efficiency. In this study, two independent methods to determine the irrigation …

A modeling framework to assess the crop production potential of green roofs

P Xie, V Barbarossa, JW Erisman… - Science of the Total …, 2024 - Elsevier
The increase in food demand and limited opportunities to expand agricultural land pose a
threat to local and global food security. Producing food in urban areas such as green roofs …

Remote sensing, geophysics, and modeling to support precision agriculture—Part 2: Irrigation management

A Pradipta, P Soupios, N Kourgialas, M Doula, Z Dokou… - Water, 2022 - mdpi.com
Food and water security are considered the most critical issues globally due to the projected
population growth placing pressure on agricultural systems. Because agricultural activity is …