[HTML][HTML] Identifying and Monitoring Gardens in Urban Areas Using Aerial and Satellite Imagery
In dry regions, gardens and trees within the urban space are of considerable significance.
These gardens are facing harsh weather conditions and environmental stresses; on the …
These gardens are facing harsh weather conditions and environmental stresses; on the …
Deep Learning Techniques for Weed Detection in Agricultural Environments: A Comprehensive Review
DG Pai, R Kamath, M Balachandra - IEEE Access, 2024 - ieeexplore.ieee.org
Agriculture has been completely transformed by Deep Learning (DL) techniques, which
allow for quick object localization and detection. However, because weeds and crops are …
allow for quick object localization and detection. However, because weeds and crops are …
Coffee—From Plant to Cup
DS Domingues, JC Ramalho, FL Partelli - Agronomy, 2023 - mdpi.com
To date, there were identified 130 species included in the Coffea genus [1], although only
two support cultivation and trade, accounting for 99% of global production. C. arabica L …
two support cultivation and trade, accounting for 99% of global production. C. arabica L …
Machine Learning Interventions for Weed Detection using Multispectral Imagery and Unmanned Aerial Vehicles--A Systematic Review
D Goel, B Kapur, PP Vuppuluri - arXiv preprint arXiv:2408.06727, 2024 - arxiv.org
The growth of weeds poses a significant challenge to agricultural productivity, necessitating
efficient and accurate weed detection and management strategies. The combination of …
efficient and accurate weed detection and management strategies. The combination of …
[HTML][HTML] Quadcopters in Smart Agriculture: Applications and Modelling
Despite technological growth and worldwide advancements in various fields, the agriculture
sector continues to face numerous challenges such as desertification, environmental …
sector continues to face numerous challenges such as desertification, environmental …
Research on hotspots and frontiers of agricultural pests and diseases image recognition technology based on bibliometrics
H Zhang, L Zheng, Y Liu, Z Li, L Tan, J Gao… - Multimedia Tools and …, 2024 - Springer
Agricultural pests and diseases significantly affect crop yield and quality, making their
identification crucial. Image processing technology holds the key to recognizing these …
identification crucial. Image processing technology holds the key to recognizing these …
Time-Efficient Low-Resolution RGB Aerial Imaging for Precision Mapping of Weed Types in Site-Specific Herbicide Application
An efficient method for weed detection and the precise generation of spraying maps is
crucial to optimising weed management strategies and minimising the costs associated with …
crucial to optimising weed management strategies and minimising the costs associated with …
Use of Images Obtained by Remotely Piloted Aircraft and Random Forest for the Detection of Leaf Miner (Leucoptera coffeella) in Newly Planted Coffee Trees
LM dos Santos, GAS Ferraz, NL Bento, DB Marin… - Remote Sensing, 2024 - mdpi.com
Brazil is the largest producer and exporter of coffee beans in the world. Given this relevance,
it is important to monitor the crop to prevent attacks by pests. This study aimed to detect leaf …
it is important to monitor the crop to prevent attacks by pests. This study aimed to detect leaf …