In-field crop-weed classification using remote sensing and neural network

S Kerimkhulle, Z Kerimkulov… - … on Smart Information …, 2021 - ieeexplore.ieee.org
With the development of the latest remote sensing techniques, farmers have more control
over their fields, yield forecasting and maximization. In this respect, the classification of …

A deep-learning-based low-altitude remote sensing algorithm for weed classification in ecological irrigation area

S Wang, Y Han, J Chen, Y Pan, Y Cao, H Meng… - … and Applications: First …, 2019 - Springer
With the development of ecological irrigation area at present, it requires higher detection
and control of weeds in irrigation area. In this paper, aiming at the ecological irrigation area …

Recognition of Weed Detection in Smart Agricultural Farm using Image Processing with IoT

SKC Devi, MS Ashraf, K Raghuveer… - … Conference on I …, 2023 - ieeexplore.ieee.org
The agriculture sector is indispensable for safeguarding sustainability and food safety.
Though the presence of weeds in agricultural pitches can seriously reduce crop output and …

[PDF][PDF] A comprehensive survey for weed classification and detection in agriculture lands

GH Krishnan, T Rajasenbagam - J Inf Technol, 2021 - researchgate.net
In modern agriculture, there are many technologies that improve the performance of farming
and production of the main plant. Few such important technologies are the machine learning …

Weed identification using convolutional neural network and convolutional neural network architectures

E Gothai, P Natesan, S Aishwariya… - 2020 Fourth …, 2020 - ieeexplore.ieee.org
In order to overcome this threat imposed by weeds in agriculture, a measure is taken to
identify the weeds that grow along with the seedlings with the help of deep learning (DL) …

Detection of weeds using image processing and deep learning techniques

K Ravi Teja, M Kavya, M Sai Teja… - Proceedings of Third …, 2022 - Springer
Identifying the weeds in the Vegetable Ranch has been becoming difficult because the
plants of the crop are spaced randomly. At this point, by doing research, weeds are identified …

Optimized convolutional neural network for robust crop/weed classification

B Panda, MK Mishra, BSP Mishra… - International Journal of …, 2023 - World Scientific
Precision farming makes extensive use of information technology, which also aids
agronomists in their work. Weeds typically grow alongside crops, lowering the production of …

IoT and wireless sensor network based autonomous farming robot

A Khan, S Aziz, M Bashir… - … international conference on …, 2020 - ieeexplore.ieee.org
Internet of things (IoT) is an emerging technology that shows the future of computing and
networking. Agricultural monitoring from a remote location is one of the essential …

Parametric Analysis on Crop/Weed Classification via Optimized Convolutional Neural Network

B Panda, MK Mishra, BSP Mishra… - 2021 Third International …, 2021 - ieeexplore.ieee.org
A new crop/weed classification model is established in this work that includes three main
phases like (1) Preprocessing (2) Feature extraction (3) and Classification Initially, the input …

Weed classification from paddy crops using convolutional neural network

J Dhakshayani, SS Kulkarni, A Mahapatra… - Proceedings of the …, 2022 - Springer
Paddy crop is the key essential in Indian agricultural economy. The production is mainly
affected by various kinds of stress, application of pesticide, growth of different kinds of …