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Cotton Verticillium wilt monitoring based on UAV multispectral-visible multi-source feature fusion
R Ma, N Zhang, X Zhang, T Bai, X Yuan, H Bao… - … and Electronics in …, 2024 - Elsevier
Verticillium wilt seriously jeopardizes cotton growth and restricts cotton yields. Therefore, it is
important to accurately, rapidly, and non-destructively estimate the extent of cotton …
important to accurately, rapidly, and non-destructively estimate the extent of cotton …
[HTML][HTML] Multiple linear regression models with limited data for the prediction of reference evapotranspiration of the Peloponnese, Greece
S Dimitriadou, KG Nikolakopoulos - Hydrology, 2022 - mdpi.com
The aim of this study was to investigate the utility of multiple linear regression (MLR) for the
estimation of reference evapotranspiration (ETo) of the Peloponnese, Greece, for two …
estimation of reference evapotranspiration (ETo) of the Peloponnese, Greece, for two …
[HTML][HTML] Actual evapotranspiration and energy balance estimation from vineyards using micro-meteorological data and machine learning modeling
Actual evapotranspiration (ETa) can be commonly estimated using numerical models based
on i) weather and plant-based parameters, ii) from remotely sensed data and energy …
on i) weather and plant-based parameters, ii) from remotely sensed data and energy …
Grapevine stem water potential estimation based on sensor fusion
N Ohana-Levi, I Zachs, N Hagag, L Shemesh… - … and Electronics in …, 2022 - Elsevier
Estimating vine water status is essential for achieving the desired balance between wine
grape quality and yield in viticulture management and irrigation planning. The growing …
grape quality and yield in viticulture management and irrigation planning. The growing …
Smart Farming and Precision Agriculture and Its Need in Today's World
Smart farming and precision agriculture are two intertwined concepts that leverage
technology and data-driven methods to transform conventional farming practices. This …
technology and data-driven methods to transform conventional farming practices. This …
Paddy yield prediction based on 2D images of rice panicles using regression techniques
Crop yield predictions are important for crop monitoring and agronomic management. The
traditional methods for yield predictions are complicated and resource consuming. With the …
traditional methods for yield predictions are complicated and resource consuming. With the …
Improved demand forecasting of a retail store using a hybrid machine learning model
V Taparia, P Mishra, N Gupta… - Journal of Graphic Era …, 2024 - riverpublishersjournal.com
Accurate demand forecasting is a competitive advantage for all supply chain components,
including retailers. Approaches like naïve, moving average, weighted average, and …
including retailers. Approaches like naïve, moving average, weighted average, and …
The response of yield, number of clusters, and cluster weight to meteorological factors and irrigation practices in grapevines: A multi-experiment study
Abstract Knowledge of the yield components of wine grapevines is essential to achieve
target production and effectively design vineyard management. Therefore, it is necessary to …
target production and effectively design vineyard management. Therefore, it is necessary to …
An accurate irrigation volume prediction method based on an optimized LSTM model
H Yan, F **e, D Long, Y Long, P Yu, H Chen - PeerJ Computer Science, 2024 - peerj.com
Precise prediction of irrigation volumes is crucial in modern agriculture. This study proposes
an optimized long short-term memory (LSTM) model-based irrigation prediction method that …
an optimized long short-term memory (LSTM) model-based irrigation prediction method that …
[HTML][HTML] Machine-learned actual evapotranspiration for an irrigated pecan orchard in Northwest Mexico
Accurate field-scale estimates of the actual evapotranspiration (ET act) based on readily
available input data is indispensable to optimize irrigation in (semi-) arid regions. In this …
available input data is indispensable to optimize irrigation in (semi-) arid regions. In this …