Using AI to improve sustainable agricultural practices: A literature review and research agenda

V Lakshmi, J Corbett - … of the Association for Information Systems, 2023 - aisel.aisnet.org
The world is confronted with the grand challenge of food insecurity amidst growing
populations and the climate crisis. Artificial intelligence (AI) deployed in agricultural decision …

In-field tobacco leaf maturity detection with an enhanced MobileNetV1: Incorporating a feature pyramid network and attention mechanism

Y Zhang, Y Zhu, X Liu, Y Lu, C Liu, X Zhou, W Fan - Sensors, 2023 - mdpi.com
The maturity of tobacco leaves plays a decisive role in tobacco production, affecting the
quality of the leaves and production control. Traditional recognition of tobacco leaf maturity …

Ripeness Evaluation of Tobacco Leaves for Automatic Harvesting: An Approach Based on Combination of Filters and Color Models

PB Mallikarjuna, DS Guru… - Data Science: Theory …, 2021 - Springer
In this paper, a novel filter-based model for classification of tobacco leaves for the purpose of
harvesting is proposed. The filter-based model relies on estimation of degree of ripeness of …

[PDF][PDF] Optimasi Conjugate Gradient Pada Backpropagation Neural Network untuk Deteksi Kualitas Daun Tembakau

Y Sari, FD Marleny, R Ansari, M Izzana… - … Nasional Sistem dan …, 2015 - academia.edu
Tembakau merupakan komoditi perkebunan yang memiliki nilai ekonomi tingg, teutama
sebagai bahan utama rokok. Produksi rokok memberikan pengaruh pada perekonomian di …

Fusion of texture features and SBS method for classification of tobacco leaves for automatic harvesting

PB Mallikarjuna, DS Guru - … of the First International Conference, ICMCCA …, 2013 - Springer
In this paper we propose a new model to classify tobacco leaves for automatic harvesting
using feature level fusion. The CIELAB color space model is used to segment leaves from …

[引用][C] 形势与未来: 烟草科技发展展望

谢剑平 - 中国烟草学报, 2017

[引用][C] On the development prospects of tobacco science and technology in China

XIE Jianping - 中国烟草学报, 2017 - 中国烟草学报

[引用][C] Abstract ID: AIMC-2018-EBM-793

WM Abdullah, SN Yaakob