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 …

Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects

J Wang, M Bretz, MAA Dewan, MA Delavar - Science of The Total …, 2022 - Elsevier
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …

[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector

M Javaid, A Haleem, IH Khan, R Suman - Advanced Agrochem, 2023 - Elsevier
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

K Berger, M Machwitz, M Kycko, SC Kefauver… - Remote sensing of …, 2022 - Elsevier
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

[HTML][HTML] A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications

Z Zhang, L Zhu - drones, 2023 - mdpi.com
In recent years, UAV remote sensing has gradually attracted the attention of scientific
researchers and industry, due to its broad application prospects. It has been widely used in …

[HTML][HTML] Crop monitoring by multimodal remote sensing: A review

P Karmakar, SW Teng, M Murshed, S Pang, Y Li… - Remote Sensing …, 2024 - Elsevier
Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

Carbon nanomaterials: Synthesis, functionalization and sensing applications

G Speranza - Nanomaterials, 2021 - mdpi.com
Recent advances in nanomaterial design and synthesis has resulted in robust sensing
systems that display superior analytical performance. The use of nanomaterials within …

Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research

M Ouhami, A Hafiane, Y Es-Saady, M El Hajji… - Remote Sensing, 2021 - mdpi.com
Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …

Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances

E Omia, H Bae, E Park, MS Kim, I Baek, I Kabenge… - Remote Sensing, 2023 - mdpi.com
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Digital transformation in smart farm and forest operations needs human-centered AI: challenges and future directions

A Holzinger, A Saranti, A Angerschmid, CO Retzlaff… - Sensors, 2022 - mdpi.com
The main impetus for the global efforts toward the current digital transformation in almost all
areas of our daily lives is due to the great successes of artificial intelligence (AI), and in …