Precision agroecology

H Duff, PB Hegedus, S Loewen, T Bass, BD Maxwell - Sustainability, 2021 - mdpi.com
In response to global calls for sustainable food production, we identify two diverging
paradigms to address the future of agriculture. We explore the possibility of uniting these two …

Delineating and identifying risk zones of soil heavy metal pollution in an industrialized region using machine learning

D Chen, X Wang, X Luo, G Huang, Z Tian, W Li… - Environmental …, 2023 - Elsevier
The ability to control the risk of soil heavy metal pollution is limited by the inability to
accurately depict their spatial distributions and to reasonably delineate the risk zones. To …

Satellite and proximal sensing to estimate the yield and quality of table grapes

E Anastasiou, A Balafoutis, N Darra, V Psiroukis… - Agriculture, 2018 - mdpi.com
Table grapes are a crop with high nutritional value that need to be monitored often to
achieve high yield and quality. Non-destructive methods, such as satellite and proximal …

Carrot yield map**: A precision agriculture approach based on machine learning

MCF Wei, LF Maldaner, PMN Ottoni, JP Molin - Ai, 2020 - mdpi.com
Carrot yield maps are an essential tool in supporting decision makers in improving their
agricultural practices, but they are unconventional and not easy to obtain. The objective was …

Fuzzy k-means and principal component analysis for classifying soil properties for efficient farm management and maintaining soil health

MK Shukla, P Sharma - Sustainability, 2023 - mdpi.com
Soil health indicators can guide soil management-related decisions for sustainable
agriculture. Principle component (PC) analysis and the fuzzy k-means technique, also …

An Overview of Precision Agricultural Technologies for Crop Yield Enhancement and Environmental Sustainability

HU Farid, B Mustafa, ZM Khan, MN Anjum… - Climate Change Impacts …, 2023 - Springer
The socio-economic condition of farmers in develo** countries demands to optimize the
knowledge of precision agriculture (PA) technologies to maximize crop yields with minimum …

Normalization of data for delineating management zones

K Schenatto, EG De Souza, CL Bazzi, A Gavioli… - … and Electronics in …, 2017 - Elsevier
Management zones (MZs) are a viable economic alternative to variable-rate application
(VRA) based on prescription maps; however, unlike the latter, MZs can employ conventional …

Soil sampling and sensed ancillary data requirements for soil map** in precision agriculture I. delineation of management zones to determine zone averages of soil …

R Kerry, B Ingram, M Oliver, Z Frogbrook - Precision Agriculture, 2024 - Springer
Sensed and soil sample data are used in two main approaches for map** soil properties
in precision agriculture: management zones (MZs) and contour maps. This is the first of two …

Analysis of nitrogen uptake in winter wheat using sensor and satellite data for site-specific fertilization

M Stettmer, FX Maidl, J Schwarzensteiner… - Agronomy, 2022 - mdpi.com
Sensor-and satellite-based determination of nitrogen uptake provides critical data in site-
specific fertilization algorithms. Therefore, two basic noncontact measurement methods …

Three methods of site-specific yield map** as a data source for the delineation of management zones in winter wheat

M Stettmer, M Mittermayer, FX Maidl… - Agriculture, 2022 - mdpi.com
In this study, three digital, site-specific, yield-map** methods for winter wheat were
examined, and their precision was evaluated. The crop yields of heterogeneous fields at …