Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications

Z Zhou, Y Majeed, GD Naranjo… - … and Electronics in …, 2021 - Elsevier
With the increasing global water scarcity, efficient assessment methods for crop water stress
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …

Recognition of bloom/yield in crop images using deep learning models for smart agriculture: A review

B Darwin, P Dharmaraj, S Prince, DE Popescu… - Agronomy, 2021 - mdpi.com
Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …

A review of crop water stress assessment using remote sensing

U Ahmad, A Alvino, S Marino - Remote Sensing, 2021 - mdpi.com
Currently, the world is facing high competition and market risks in improving yield, crop
illness, and crop water stress. This could potentially be addressed by technological …

Development of deep learning methodology for maize seed variety recognition based on improved swin transformer

C Bi, N Hu, Y Zou, S Zhang, S Xu, H Yu - Agronomy, 2022 - mdpi.com
In order to solve the problems of high subjectivity, frequent error occurrence and easy
damage of traditional corn seed identification methods, this paper combines deep learning …

An extensive review on agricultural robots with a focus on their perception systems

A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023 - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

[HTML][HTML] Intelligent thermal image-based sensor for affordable measurement of crop canopy temperature

J Giménez-Gallego, JD González-Teruel… - … and Electronics in …, 2021 - Elsevier
Crop canopy temperature measurement is necessary for monitoring water stress indicators
such as the Crop Water Stress Index (CWSI). Water stress indicators are very useful for …

[PDF][PDF] Real-Time Multiple Guava Leaf Disease Detection from a Single Leaf Using Hybrid Deep Learning Technique.

J Rashid, I Khan, G Ali, F Alturise… - Computers, Materials & …, 2023 - researchgate.net
The guava plant has achieved viable significance in subtropics and tropics owing to its
flexibility to climatic environments, soil conditions and higher human consumption. It is …

Feasibility of low-cost thermal imaging for monitoring water stress in young and mature sweet cherry trees

PJ Blaya-Ros, V Blanco, R Domingo, F Soto-Valles… - Applied Sciences, 2020 - mdpi.com
Infrared thermography has been introduced as an affordable tool for plant water status
monitoring, especially in regions where water availability is the main limiting factor in …

Deep learning for identification of water deficits in sugarcane based on thermal images

LL de Melo, VGML de Melo, PAA Marques… - Agricultural Water …, 2022 - Elsevier
Thermal images of plants have been used as a way for monitoring water status since it does
provide a non-destructive method that allows its remote evaluation. Even with the facilities …

From machine learning to deep learning in agriculture–the quantitative review of trends

K Dokic, L Blaskovic, D Mandusic - IOP conference series: Earth …, 2020 - iopscience.iop.org
In the last two decades, we have witnessed the intensive development of artificial
intelligence in the field of agriculture. In this period, the transition from the application of …