A comparative study of deep learning and Internet of Things for precision agriculture

T Saranya, C Deisy, S Sridevi… - … Applications of Artificial …, 2023 - Elsevier
Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …

Emerging trends in machine learning to predict crop yield and study its influential factors: A survey

N Bali, A Singla - Archives of computational methods in engineering, 2022 - Springer
Agriculture is one of the most crucial field contributing to the development of any nation. It
not only affects the economy of nation but also has impact on the world food grain statistics …

[HTML][HTML] A concept for application of integrated digital technologies to enhance future smart agricultural systems

G Gebresenbet, T Bosona, D Patterson… - Smart agricultural …, 2023 - Elsevier
Future agricultural systems should increase productivity and sustainability of food production
and supply. For this, integrated and efficient capture, management, sharing, and use of …

[PDF][PDF] Deep transfer learning based rice plant disease detection model.

RP Narmadha, N Sengottaiyan… - Intelligent Automation & …, 2022 - cdn.techscience.cn
In agriculture, plant diseases are mainly accountable for reduction in productivity and leads
to huge economic loss. Rice is the essential food crop in Asian countries and it gets easily …

Revolutionizing Agriculture: A Comprehensive Review of Artificial Intelligence Techniques in Farming

GS Kashyap, P Kamani, M Kanojia, S Wazir, K Malik… - 2024 - researchsquare.com
Artificial Intelligence (AI) is a relatively new branch of information technology. It is one of the
pillars of many industrial innovations, as well as a critical component in supporting and …

A comprehensive review of scab disease detection on Rosaceae family fruits via UAV imagery

ZA Ali, C Yang, A Israr, Q Zhu - Drones, 2023 - mdpi.com
Disease detection in plants is essential for food security and economic stability. Unmanned
aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The …

Towards technological adaptation of advanced farming through AI, IoT, and Robotics: A Comprehensive overview

MM Hasan, MU Islam, MJ Sadeq - arXiv preprint arXiv:2202.10459, 2022 - arxiv.org
The population explosion of the 21st century has adversely affected the natural resources
with restricted availability of cultivable land, increased average temperatures due to global …

Automatic detection and diagnosis of cocoa diseases using mobile tech and deep learning

RK Lomotey, S Kumi, R Orji… - International Journal of …, 2024 - inderscienceonline.com
Cocoa is a cash crop that contributes about 3% to the gross domestic product (GDP) of
Ghana's economy and makes up about 20% of total export receipts according to the Ghana …

Leaf disease identification using densenet

R Verma, V Singh - International conference on artificial intelligence and …, 2021 - Springer
To maintain a promising status of global food security, it is imperative to strike a congruous
balance between the estimated alarming growth in the global population and the expected …

Towards the technological adaptation of advanced farming through artificial intelligence, the internet of things, and robotics: A comprehensive overview

MM Hasan, MU Islam, MJ Sadeq - Artificial Intelligence and Smart …, 2022 - taylorfrancis.com
The population explosion of the 21st century has adversely affected natural resources with
restricted availability of cultivable land, increased average temperatures due to global …