Challenges and opportunities in remote sensing-based crop monitoring: A review
Building a more resilient food system for sustainable development and reducing uncertainty
in global food markets both require concurrent and near-real-time and reliable crop …
in global food markets both require concurrent and near-real-time and reliable crop …
Can yield prediction be fully digitilized? A systematic review
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
Complementary use of ground-based proximal sensing and airborne/spaceborne remote sensing techniques in precision agriculture: A systematic review
As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …
people by 2050, there will be a growing demand for food production and agricultural …
Seasonal dynamics of fallow and crop** lands in the broadacre crop** region of Australia
Z ** via UAV-based imaging, modelling, and machine learning
High-throughput phenoty** has become the frontier to accelerate breeding through linking
genetics to crop growth estimation, which requires accurate estimation of leaf area index …
genetics to crop growth estimation, which requires accurate estimation of leaf area index …
Early crop classification via multi-modal satellite data fusion and temporal attention
In this article, we propose a deep learning-based algorithm for the classification of crop
types from Sentinel-1 and Sentinel-2 time series data which is based on the celebrated …
types from Sentinel-1 and Sentinel-2 time series data which is based on the celebrated …
Comparing machine and deep learning methods for the phenology-based classification of land cover types in the Amazon biome using Sentinel-1 time series
IAL Magalhães, OA de Carvalho Júnior… - Remote Sensing, 2022 - mdpi.com
The state of Amapá within the Amazon biome has a high complexity of ecosystems formed
by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses …
by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses …
Computer vision and deep learning as tools for leveraging dynamic phenological classification in vegetable crops
The efficiency of agricultural practices depends on the timing of their execution.
Environmental conditions, such as rainfall, and crop-related traits, such as plant phenology …
Environmental conditions, such as rainfall, and crop-related traits, such as plant phenology …