Analyzing precision agriculture adoption across the globe: A systematic review of scholarship from 1999–2020
Precision agriculture (PA) is a holistic, sustainable, innovative systems approach that assists
farmers in production management. Adopting PA could improve sustainable food security …
farmers in production management. Adopting PA could improve sustainable food security …
Development of soft computing and applications in agricultural and biological engineering
Soft computing is a set of “inexact” computing techniques, which are able to model and
analyze very complex problems. For these complex problems, more conventional methods …
analyze very complex problems. For these complex problems, more conventional methods …
Crop yield prediction through proximal sensing and machine learning algorithms
Proximal sensing techniques can potentially survey soil and crop variables responsible for
variations in crop yield. The full potential of these precision agriculture technologies may be …
variations in crop yield. The full potential of these precision agriculture technologies may be …
Wheat yield prediction using machine learning and advanced sensing techniques
Understanding yield limiting factors requires high resolution multi-layer information about
factors affecting crop growth and yield. Therefore, on-line proximal soil sensing for …
factors affecting crop growth and yield. Therefore, on-line proximal soil sensing for …
Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors
This article describes design and application of feed-forward, fully-connected, three-layer
perceptron neural network model for computing the water quality index (WQI) 1 for Kinta …
perceptron neural network model for computing the water quality index (WQI) 1 for Kinta …
Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture
H Burdett, C Wellen - Precision agriculture, 2022 - Springer
It is of critical importance to understand the relationships between crop yield, soil properties
and topographic characteristics for agricultural management. This study's objective was to …
and topographic characteristics for agricultural management. This study's objective was to …
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods
In order to meet the requirements of sustainability and to determine yield drivers and limiting
factors, it is now more likely that traditional yield modelling will be carried out using artificial …
factors, it is now more likely that traditional yield modelling will be carried out using artificial …
A new robust hybrid model based on support vector machine and firefly meta-heuristic algorithm to predict pistachio yields and select effective soil variables
J Seyedmohammadi, A Zeinadini, MN Navidi… - Ecological …, 2023 - Elsevier
Pistachio production is an economically important crop that grows in arid environments. To
predict yield and sustainably manage the use of natural resources such as soil and water …
predict yield and sustainably manage the use of natural resources such as soil and water …
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
EI Papageorgiou, AT Markinos, TA Gemtos - Applied Soft Computing, 2011 - Elsevier
This work investigates the process of yield prediction in cotton crop production using the soft
computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy …
computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy …