Smart sensors and smart data for precision agriculture: a review

A Soussi, E Zero, R Sacile, D Trinchero, M Fossa - Sensors, 2024 - mdpi.com
Precision agriculture, driven by the convergence of smart sensors and advanced
technologies, has emerged as a transformative force in modern farming practices. The …

A comprehensive review of high throughput phenoty** and machine learning for plant stress phenoty**

T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenoty** various biotic and abiotic stresses throughout the …

[PDF][PDF] A systematic review of geographic information systems (GIS) in agriculture for evidence-based decision making and sustainability

A Raihan - Global Sustainability Research, 2024 - researchgate.net
The aim of this study was to consolidate current information on the utilization of Geographic
Information Systems (GIS) and Remote Sensing (RS) in the agricultural sector, with a focus …

[HTML][HTML] Remote sensing vegetation indices in viticulture: A critical review

R Giovos, D Tassopoulos, D Kalivas, N Lougkos… - Agriculture, 2021 - mdpi.com
One factor of precision agriculture is remote sensing, through which we can monitor
vegetation health and condition. Much research has been conducted in the field of remote …

Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a sco** review and bibliometric analysis

S Gokool, M Mahomed, R Kunz, A Clulow, M Sibanda… - Sustainability, 2023 - mdpi.com
In this study, we conducted a sco** review and bibliometric analysis to evaluate the state-
of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies to …

Plant responses to climate change, how global warming may impact on food security: A critical review

M Janni, E Maestri, M Gullì, M Marmiroli… - Frontiers in plant …, 2024 - frontiersin.org
Global agricultural production must double by 2050 to meet the demands of an increasing
world human population but this challenge is further exacerbated by climate change …

Multi-modal temporal attention models for crop map** from satellite time series

VSF Garnot, L Landrieu, N Chehata - ISPRS Journal of Photogrammetry …, 2022 - Elsevier
Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …

[HTML][HTML] 10 m crop type map** using Sentinel-2 reflectance and 30 m cropland data layer product

KH Tran, HK Zhang, JT McMaine, X Zhang… - International Journal of …, 2022 - Elsevier
The 30 m resolution US Department of Agriculture (USDA) crop data layer (CDL) is a widely
used crop type map for agricultural management and assessment, environmental impact …

Evaluating the efficiency of coarser to finer resolution multispectral satellites in map** paddy rice fields using GEE implementation

M Waleed, M Mubeen, A Ahmad… - Scientific Reports, 2022 - nature.com
Timely and accurate estimation of rice-growing areas and forecasting of production can
provide crucial information for governments, planners, and decision-makers in formulating …

[HTML][HTML] The role of remote sensing data and methods in a modern approach to fertilization in precision agriculture

D Radočaj, M Jurišić, M Gašparović - Remote Sensing, 2022 - mdpi.com
The precision fertilization system is the basis for upgrading conventional intensive
agricultural production, while achieving both high and quality yields and minimizing the …