Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Review of technological advancements in food supply chain management: a comparative study between the US and Africa

OI Oriekhoe, BI Ashiwaju, KC Ihemereze… - International Journal of …, 2024 - fepbl.com
This comprehensive review explores the technological advancements in food supply chain
management, presenting a comparative study between the United States and Africa. The …

[HTML][HTML] Analysis of the drivers of Agriculture 4.0 implementation in the emerging economies: Implications towards sustainability and food security

MFB Alam, SR Tushar, SM Zaman… - Green Technologies and …, 2023 - Elsevier
Global food insecurity has become a significant concern, especially for emerging
economies. The crisis has been exacerbated recently due to the intense supply chain …

[HTML][HTML] Effect of varying training epochs of a faster region-based convolutional neural network on the accuracy of an automatic weed classification scheme

OG Ajayi, J Ashi - Smart Agricultural Technology, 2023 - Elsevier
Site-specific weed detection and management is a crucial approach for crop production
management and herbicide contamination mitigation in precision agriculture. With the …

Faster-PestNet: A Lightweight deep learning framework for crop pest detection and classification

F Ali, H Qayyum, MJ Iqbal - IEEE Access, 2023 - ieeexplore.ieee.org
One of the most significant risks impacting crops is pests, which substantially decrease food
production. Further, prompt and precise recognition of pests can help harvesters save …

Smart greenhouse construction and irrigation control system for optimal Brassica Juncea development

HX Huynh, LN Tran, N Duong-Trung - Plos one, 2023 - journals.plos.org
This paper contributes to smart greenhouses and IoT (Internet of Things) research. Our
pioneering achievement centers on successfully designing, constructing, and testing a 30m2 …

[HTML][HTML] Object-level benchmark for deep learning-based detection and classification of weed species

ASMM Hasan, D Diepeveen, H Laga, MGK Jones… - Crop Protection, 2024 - Elsevier
Weeds can decrease yields and the quality of crops. Detection, localisation, and
classification of weeds in crops are crucial for developing efficient weed control and …

[HTML][HTML] Economic and Environmental Benefits of Digital Agricultural Technologies in Crop Production: A review

G Papadopoulos, S Arduini, H Uyar, V Psiroukis… - Smart Agricultural …, 2024 - Elsevier
This comprehensive review delved into the economic and environmental benefits of Digital
Agricultural Technologies (DATs) in crop production, synthesising data from 136 peer …

Automation's impact on agriculture: opportunities, challenges, and economic effects

K Bazargani, T Deemyad - Robotics, 2024 - mdpi.com
Automation and robotics are the key players in modern agriculture. They offer potential
solutions for challenges related to the growing global population, demographic shifts, and …

A vision of precision agriculture: Balance between agricultural sustainability and environmental stewardship

S Nath - Agronomy Journal, 2024 - Wiley Online Library
Precision agriculture (PA) has become an increasingly popular approach to sustainable
intensification in agriculture, with the intent of a balance between agricultural productivity …