A systematic literature review on crop yield prediction with deep learning and remote sensing
Deep learning has emerged as a potential tool for crop yield prediction, allowing the model
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
Remote-sensing data and deep-learning techniques in crop mapping and yield prediction: A systematic review
Reliable and timely crop-yield prediction and crop mapping are crucial for food security and
decision making in the food industry and in agro-environmental management. The global …
decision making in the food industry and in agro-environmental management. The global …
Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning
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 …
sensing data allowing for the continuous monitoring of crops throughout their growth cycle …
Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
Crop yield forecasting depends on many interactive factors, including crop genotype,
weather, soil, and management practices. This study analyzes the performance of machine …
weather, soil, and management practices. This study analyzes the performance of machine …
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
sustainable agricultural production by leveraging cutting edge remote sensing and …
Winter wheat yield prediction using an LSTM model from MODIS LAI products
J Wang, H Si, Z Gao, L Shi - Agriculture, 2022 - mdpi.com
Yield estimation using remote sensing data is a research priority in modern agriculture. The
rapid and accurate estimation of winter wheat yields over large areas is an important …
rapid and accurate estimation of winter wheat yields over large areas is an important …
Multispectral crop yield prediction using 3D-convolutional neural networks and attention convolutional LSTM approaches
SMM Nejad, D Abbasi-Moghadam… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In recent years, national economies are highly affected by crop yield predictions. By early
prediction, the market price can be predicted, importing, and exporting plan can be provided …
prediction, the market price can be predicted, importing, and exporting plan can be provided …
Classification and yield prediction in smart agriculture system using IoT
A Gupta, P Nahar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The modern agriculture industry is data-centred, precise and smarter than ever. Advanced
development of Internet-of-Things (IoT) based systems redesigned “smart agriculture”. This …
development of Internet-of-Things (IoT) based systems redesigned “smart agriculture”. This …
Multi-stage corn yield prediction using high-resolution UAV multispectral data and machine learning models
Timely and cost-effective crop yield prediction is vital in crop management decision-making.
This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation …
This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation …