Autonomous robotic weed control systems: A review
DC Slaughter, DK Giles, D Downey - Computers and electronics in …, 2008 - Elsevier
Autonomous robotic weed control systems hold promise toward the automation of one of
agriculture's few remaining unmechanized and drudging tasks, hand weed control. Robotic …
agriculture's few remaining unmechanized and drudging tasks, hand weed control. Robotic …
[PDF][PDF] Artificial intelligence in agriculture: A literature survey
G Bannerjee, U Sarkar, S Das… - international Journal of …, 2018 - researchgate.net
This paper presents a comprehensive literature survey on the applications of artificial
intelligence techniques in agriculture. The domain of agriculture faces many challenges …
intelligence techniques in agriculture. The domain of agriculture faces many challenges …
Image recognition of four rice leaf diseases based on deep learning and support vector machine
F Jiang, Y Lu, Y Chen, D Cai, G Li - Computers and Electronics in …, 2020 - Elsevier
In the field of agricultural information, identification and prediction of rice leaf diseases has
always been a research focus. Deep learning and support vector machine (SVM) technology …
always been a research focus. Deep learning and support vector machine (SVM) technology …
Precision farming in modern agriculture
The science, art and practice of growing plants are called agriculture. The history of
agriculture began thousands of years ago. It began independently in various parts of the …
agriculture began thousands of years ago. It began independently in various parts of the …
Hyperspectral remote sensing in precision agriculture: Present status, challenges, and future trends
The rapid development of remote sensing has made it possible to study environmental
processes and changes in agriculture and also to provide important assistance in relevant …
processes and changes in agriculture and also to provide important assistance in relevant …
Fast and accurate crop and weed identification with summarized train sets for precision agriculture
In this paper we present a perception system for agriculture robotics that enables an
unmanned ground vehicle (UGV) equipped with a multi spectral camera to automatically …
unmanned ground vehicle (UGV) equipped with a multi spectral camera to automatically …
Development of soft computing and applications in agricultural and biological engineering
Soft computing is a set of “inexact” computing techniques, which are able to model and
analyze very complex problems. For these complex problems, more conventional methods …
analyze very complex problems. For these complex problems, more conventional methods …
Automatic model based dataset generation for fast and accurate crop and weeds detection
M Di Cicco, C Potena, G Grisetti… - 2017 IEEE/RSJ …, 2017 - ieeexplore.ieee.org
Selective weeding is one of the key challenges in the field of agriculture robotics. To
accomplish this task, a farm robot should be able to accurately detect plants and to …
accomplish this task, a farm robot should be able to accurately detect plants and to …
Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale crop** systems
The past 50 yr of advances in weed recognition technologies have poised site-specific weed
control (SSWC) on the cusp of requisite performance for large-scale production systems …
control (SSWC) on the cusp of requisite performance for large-scale production systems …
Statistical and neural methods for site–specific yield prediction
Understanding the relationships between yield and soil properties and topographic
characteristics is of criticalimportance in precision agriculture. A necessary first step is to …
characteristics is of criticalimportance in precision agriculture. A necessary first step is to …