[HTML][HTML] Crop monitoring by multimodal remote sensing: A review

P Karmakar, SW Teng, M Murshed, S Pang, Y Li… - Remote Sensing …, 2024 - Elsevier
Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning

S Khaki, H Pham, L Wang - Scientific Reports, 2021 - nature.com
Large-scale crop yield estimation is, in part, made possible due to the availability of remote
sensing data allowing for the continuous monitoring of crops throughout their growth cycle …

Towards developing drought-smart soybeans

H Arya, MB Singh, PL Bhalla - Frontiers in Plant Science, 2021 - frontiersin.org
Drought is one of the significant abiotic stresses threatening crop production worldwide.
Soybean is a major legume crop with immense economic significance, but its production is …

Unraveling Heat Tolerance in Upland Cotton (Gossypium hirsutum L.) Using Univariate and Multivariate Analysis

MM Zafar, X Jia, A Shakeel, Z Sarfraz… - Frontiers in plant …, 2022 - frontiersin.org
The ever-changing global environment currently includes an increasing ambient
temperature that can be a devastating stress for organisms. Plants, being sessile, are …

Machine learning technology for early prediction of grain yield at the field scale: A systematic review

J Leukel, T Zimpel, C Stumpe - Computers and Electronics in Agriculture, 2023 - Elsevier
Abstract Machine learning (ML) has become an important technology for the development of
prediction models for crop yield. Predictive modeling using ML is rapidly growing as …

[HTML][HTML] Field-scale yield prediction of winter wheat under different irrigation regimes based on dynamic fusion of multimodal UAV imagery

J Ma, B Liu, L Ji, Z Zhu, Y Wu, W Jiao - International Journal of Applied …, 2023 - Elsevier
Field-scale crop yield prediction is critical to site-specific field management, which has been
facilitated by recent studies fusing unmanned aerial vehicles (UAVs) based multimodal data …

A survey of unmanned aerial vehicles and deep learning in precision agriculture

D Wang, M Zhao, Z Li, S Xu, X Wu, X Ma… - European Journal of …, 2025 - Elsevier
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …

Estimation of maize yield and flowering time using multi-temporal UAV-based hyperspectral data

J Fan, J Zhou, B Wang, N de Leon, SM Kaeppler… - Remote Sensing, 2022 - mdpi.com
Maize (Zea mays L.) is one of the most consumed grains in the world. Within the context of
continuous climate change and the reduced availability of arable land, it is urgent to breed …

[HTML][HTML] Key insights to develop drought-resilient soybean: A review

A Rasheed, A Mahmood, R Maqbool… - Journal of King Saud …, 2022 - Elsevier
Soybean (Glycine max L.) is one of the most important legume crops that provide high
protein contents compared to any other crop. Drought stress is one of the most devastating …