Smart farming: Internet of Things (IoT)-based sustainable agriculture

M Dhanaraju, P Chenniappan, K Ramalingam… - Agriculture, 2022 - mdpi.com
Smart farming is a development that has emphasized information and communication
technology used in machinery, equipment, and sensors in network-based hi-tech farm …

Current progress and future prospects of agriculture technology: Gateway to sustainable agriculture

N Khan, RL Ray, GR Sargani, M Ihtisham, M Khayyam… - Sustainability, 2021 - mdpi.com
The agricultural industry is getting more data-centric and requires precise, more advanced
data and technologies than before, despite being familiar with agricultural processes. The …

Internet-of-Things (IoT)-based smart agriculture: Toward making the fields talk

M Ayaz, M Ammad-Uddin, Z Sharif, A Mansour… - IEEE …, 2019 - ieeexplore.ieee.org
Despite the perception people may have regarding the agricultural process, the reality is that
today's agriculture industry is data-centered, precise, and smarter than ever. The rapid …

A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0

M Raj, S Gupta, V Chamola, A Elhence, T Garg… - Journal of Network and …, 2021 - Elsevier
There is a rapid increase in the adoption of emerging technologies like the Internet of Things
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …

Nanobiotechnology approaches for engineering smart plant sensors

JP Giraldo, H Wu, GM Newkirk, S Kruss - Nature nanotechnology, 2019 - nature.com
Nanobiotechnology has the potential to enable smart plant sensors that communicate with
and actuate electronic devices for improving plant productivity, optimize and automate water …

Visible-NIR 'point'spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

KB Walsh, J Blasco, M Zude-Sasse, X Sun - Postharvest Biology and …, 2020 - Elsevier
The application of visible (Vis; 400–750 nm) and near infrared red (NIR; 750–2500 nm)
region spectroscopy to assess fruit and vegetables is reviewed in context of …

[HTML][HTML] Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review

J Wieme, K Mollazade, I Malounas, M Zude-Sasse… - biosystems …, 2022 - Elsevier
Highlights•Hyperspectral imaging is an effective tool for in assessing quality
parameters.•The most abundantly used wavelengths are 601–850 nm, used in over 50% of …

Ensuring agricultural sustainability through remote sensing in the era of agriculture 5.0

V Martos, A Ahmad, P Cartujo, J Ordoñez - Applied Sciences, 2021 - mdpi.com
Timely and reliable information about crop management, production, and yield is considered
of great utility by stakeholders (eg, national and international authorities, farmers …

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

J Abdulridha, Y Ampatzidis, P Roberts… - Biosystems …, 2020 - Elsevier
In this study hyperspectral imaging (380–1020 nm) and machine learning were utilised to
develop a technique for detecting different disease development stages (asymptomatic …