Automation in agriculture by machine and deep learning techniques: A review of recent developments

MH Saleem, J Potgieter, KM Arif - Precision Agriculture, 2021 - Springer
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …

Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture

WH Maes, K Steppe - Trends in plant science, 2019 - cell.com
Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision
agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also …

Support vector machine in precision agriculture: a review

ZH Kok, ARM Shariff, MSM Alfatni… - … and Electronics in …, 2021 - Elsevier
Abstract The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which
may be used for acquiring solutions towards better crop management. The applications of …

Application of hyperspectral remote sensing role in precision farming and sustainable agriculture under climate change: A review

CB Pande, KN Moharir - Climate Change Impacts on Natural Resources …, 2023 - Springer
Each year, scholars, agronomists, scientists, and engineers have implemented several
technologies to improve low-cost agricultural production, but this has detrimental …

Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer

S Khan, M Tufail, MT Khan, ZA Khan, S Anwar - Precision Agriculture, 2021 - Springer
Controlling weed infestation through chemicals (herbicides & pesticides) is essential for crop
yield. However, excessive use of these chemicals has caused severe agronomic and …

Review of agricultural spraying technologies for plant protection using unmanned aerial vehicle (UAV)

H Chen, Y Lan, BK Fritz, WC Hoffmann… - International Journal of …, 2021 - ijabe.org
With changing climate and farmland ecological conditions, pest outbreaks in agricultural
landscapes are becoming more frequent, increasing the need for improved crop production …

A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery

H Huang, J Deng, Y Lan, A Yang, X Deng, L Zhang - PloS one, 2018 - journals.plos.org
Appropriate Site Specific Weed Management (SSWM) is crucial to ensure the crop yields.
Within SSWM of large-scale area, remote sensing is a key technology to provide accurate …

Big data and machine learning for crop protection

RHL Ip, LM Ang, KP Seng, JC Broster… - … and Electronics in …, 2018 - Elsevier
Crop protection is the science and practice of managing plant diseases, weeds and other
pests. Weed management and control are important given that crop yield losses caused by …

Real-time recognition of spraying area for UAV sprayers using a deep learning approach

S Khan, M Tufail, MT Khan, ZA Khan, J Iqbal, A Wasim - Plos one, 2021 - journals.plos.org
Agricultural production is vital for the stability of the country's economy. Controlling weed
infestation through agrochemicals is necessary for increasing crop productivity. However, its …

A field weed density evaluation method based on uav imaging and modified u-net

K Zou, X Chen, F Zhang, H Zhou, C Zhang - Remote Sensing, 2021 - mdpi.com
Weeds are one of the main factors affecting the yield and quality of agricultural products.
Accurate evaluation of weed density is of great significance for field management, especially …