Chemical products for crop protection against freezing stress: A review

C Román‐Figueroa, L Bravo… - Journal of Agronomy …, 2021 - Wiley Online Library
Frost is an important abiotic stress for plants and crops because of the economic losses that
are incurred. Plants have two mechanisms for freezing protection: freezing avoidance and …

[HTML][HTML] Improved frost forecast using machine learning methods

JR Rozante, E Ramirez, D Ramirez… - Artificial Intelligence in …, 2023 - Elsevier
Frosts are one of the atmospheric phenomena with one of the larger negative effects on the
agricultural sector in the southern region of Brazil, therefore, an earlier forecast can minimize …

Forecasting frost risk in forest plantations by the combination of spatial data and machine learning algorithms

ÉS Diniz, AS Lorenzon, NLM de Castro… - Agricultural and Forest …, 2021 - Elsevier
Brazil is one of the leading timber producers in the world. However, in South Brazil, frost
events frequently cause damage and reduce yield in forest plantations, a situation predicted …

IoT-Driven Machine Learning for Precision Viticulture Optimization

C Pero, S Bakshi, M Nappi… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Precision agriculture (PA), also known as smart farming, has emerged as an innovative
solution to address contemporary challenges in agricultural sustainability. A particular sector …

Integration of google play content and frost prediction using cnn: scalable iot framework for big data

RMA Latif, SB Belhaouari, S Saeed, LB Imran… - IEEE …, 2020 - ieeexplore.ieee.org
The forecast of frost occurrence requires complex decision analysis that uses conditional
probabilities. Due to frost events, the production of crops and flowers gets reduced, and we …

Frost monitoring cyber–physical system: A survey on prediction and active protection methods

I Zhou, J Lipman, M Abolhasan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Frost damage in broadacre cropping and horticulture (including viticulture) results in
substantial economic losses to producers and may also disrupt associated product value …

[HTML][HTML] Disaster event-based spring frost damage identification indicator for tea plants and its applications over the region north of the Yangtze River, China

J Tang, P Wang, X Li, J Yang, D Wu, Y Ma, S Li, Z Jin… - Ecological …, 2023 - Elsevier
Spring frost damage (SFD) is the main meteorological disaster limiting the tea industry in the
region of the north of the Yangtze River (NYR) in China. Research regarding an SFD …

Making decisions for frost prediction in agricultural crops in a soft computing framework

JM Cadenas, MC Garrido, R Martínez-España… - … and Electronics in …, 2020 - Elsevier
Nowadays, there are many areas of daily life that can obtain benefit from technological
advances and the large amounts of information stored. One of these areas is agriculture …

Frost forecast-a practice of machine learning from data

L Ding, Y Tamura, K Noborio… - International Journal of …, 2021 - inderscienceonline.com
Among the efforts in frost forecast using machine learning techniques, a well-adopted
method is to first apply time series forecast for the lowest temperature at future time points …

Frost forecast using machine learning-from association to causality

L Ding, K Noborio, K Shibuya - Procedia Computer Science, 2019 - Elsevier
To effectively protect plants from frost damage, an early alarm of frost can be helpful for
growers. Frost is a localized phenomenon and can be quite variable across a small area, so …