[HTML][HTML] Drones in agriculture: A review and bibliometric analysis
Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …
remarkable development in recent decades. In agriculture, they have changed farming …
Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …
prerequisite for the accomplishment of various tasks. However, precision navigation of …
Applications of deep learning in precision weed management: A review
Deep Learning (DL) has been described as one of the key subfields of Artificial Intelligence
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
DeepWeeds: A multiclass weed species image dataset for deep learning
Robotic weed control has seen increased research of late with its potential for boosting
productivity in agriculture. Majority of works focus on develo** robotics for croplands …
productivity in agriculture. Majority of works focus on develo** robotics for croplands …
UAV-based crop and weed classification for smart farming
Unmanned aerial vehicles (UAVs) and other robots in smart farming applications offer the
potential to monitor farm land on a per-plant basis, which in turn can reduce the amount of …
potential to monitor farm land on a per-plant basis, which in turn can reduce the amount of …
Forecasting yield by integrating agrarian factors and machine learning models: A survey
D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
weednet: Dense semantic weed classification using multispectral images and mav for smart farming
Selective weed treatment is a critical step in autonomous crop management as related to
crop health and yield. However, a key challenge is reliable and accurate weed detection to …
crop health and yield. However, a key challenge is reliable and accurate weed detection to …
Comparison of object detection and patch-based classification deep learning models on mid-to late-season weed detection in UAV imagery
Mid-to late-season weeds that escape from the routine early-season weed management
threaten agricultural production by creating a large number of seeds for several future …
threaten agricultural production by creating a large number of seeds for several future …
An automatic random forest-OBIA algorithm for early weed map** between and within crop rows using UAV imagery
Accurate and timely detection of weeds between and within crop rows in the early growth
stage is considered one of the main challenges in site-specific weed management (SSWM) …
stage is considered one of the main challenges in site-specific weed management (SSWM) …