Technological revolutions in smart farming: Current trends, challenges & future directions

V Sharma, AK Tripathi, H Mittal - Computers and Electronics in Agriculture, 2022 - Elsevier
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications

A Khan, AD Vibhute, S Mali, CH Patil - Ecological Informatics, 2022 - Elsevier
The globe's population is increasing day by day, which causes the severe problem of
organic food for everyone. Farmers are becoming progressively conscious of the need to …

A review on the practice of big data analysis in agriculture

A Kamilaris, A Kartakoullis… - Computers and electronics …, 2017 - Elsevier
To tackle the increasing challenges of agricultural production, the complex agricultural
ecosystems need to be better understood. This can happen by means of modern digital …

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Y Cai, K Guan, J Peng, S Wang, C Seifert… - Remote sensing of …, 2018 - Elsevier
Accurate and timely spatial classification of crop types based on remote sensing data is
important for both scientific and practical purposes. Spatially explicit crop-type information …

3D convolutional neural networks for crop classification with multi-temporal remote sensing images

S Ji, C Zhang, A Xu, Y Shi, Y Duan - Remote Sensing, 2018 - mdpi.com
This study describes a novel three-dimensional (3D) convolutional neural networks (CNN)
based method that automatically classifies crops from spatio-temporal remote sensing …

Map** paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

J Dong, X ** practices: A review
A Bégué, D Arvor, B Bellon, J Betbeder… - Remote Sensing, 2018 - mdpi.com
For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …

[HTML][HTML] Multiple crop** systems of the world and the potential for increasing crop** intensity

K Waha, JP Dietrich, FT Portmann, S Siebert… - Global Environmental …, 2020 - Elsevier
Multiple crop**, defined as harvesting more than once a year, is a widespread land
management strategy in tropical and subtropical agriculture. It is a way of intensifying …

Automated in-season map** of winter wheat in China with training data generation and model transfer

G Yang, X Li, P Liu, X Yao, Y Zhu, W Cao… - ISPRS Journal of …, 2023 - Elsevier
Accurate and timely information on winter wheat spatial distribution is essential for food
security and environmental sustainability. However, high-quality nation-wide winter wheat …