[HTML][HTML] Machine learning in agriculture domain: A state-of-art survey
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …
Agriculture not only fulfills humans' basic needs, but also considered as source of …
A survey of deep learning techniques for weed detection from images
The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …
localisation, and recognition of objects from images or videos. DL techniques are now being …
Automation in agriculture by machine and deep learning techniques: A review of recent developments
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
Convolutional neural networks in detection of plant leaf diseases: A review
Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …
recognize objects from images. DL approaches have recently entered various agricultural …
Transformer neural network for weed and crop classification of high resolution UAV images
R Reedha, E Dericquebourg, R Canals, A Hafiane - Remote Sensing, 2022 - mdpi.com
Monitoring crops and weeds is a major challenge in agriculture and food production today.
Weeds compete directly with crops for moisture, nutrients, and sunlight. They therefore have …
Weeds compete directly with crops for moisture, nutrients, and sunlight. They therefore have …
Computer vision with deep learning for plant phenotyping in agriculture: A survey
In light of growing challenges in agriculture with ever growing food demand across the
world, efficient crop management techniques are necessary to increase crop yield. Precision …
world, efficient crop management techniques are necessary to increase crop yield. Precision …
[HTML][HTML] Dataset of annotated food crops and weed images for robotic computer vision control
K Sudars, J Jasko, I Namatevs, L Ozola, N Badaukis - Data in brief, 2020 - Elsevier
Weed management technologies that can identify weeds and distinguish them from crops
are in need of artificial intelligence solutions based on a computer vision approach, to …
are in need of artificial intelligence solutions based on a computer vision approach, to …
A survey on deep learning and its impact on agriculture: Challenges and opportunities
M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …
advancements in the use of deep learning (DL) in the agricultural sector. The author …
Weed recognition using deep learning techniques on class-imbalanced imagery
Context Most weed species can adversely impact agricultural productivity by competing for
nutrients required by high-value crops. Manual weeding is not practical for large cropping …
nutrients required by high-value crops. Manual weeding is not practical for large cropping …
Application of deep learning with stratified K-fold for vegetation species discrimation in a protected mountainous region using Sentinel-2 image
Understanding the spatial distribution of vegetation species is essential to gain knowledge
on the recovery process of an ecosystem. Few studies have used deep learning and …
on the recovery process of an ecosystem. Few studies have used deep learning and …