[HTML][HTML] Spatial variability of soil properties and cereal yield in a cultivated field on sandy soil
Sandy soils are used in agriculture in different regions of the world. In Poland soils derived
from sands occupy about 50% of agricultural area. Productivity of the soils depend on the …
from sands occupy about 50% of agricultural area. Productivity of the soils depend on the …
An approach to computing topographic wetness index based on maximum downslope gradient
As an important topographic attribute widely-used in precision agriculture, topographic
wetness index (TWI) is designed to quantify the effect of local topography on hydrological …
wetness index (TWI) is designed to quantify the effect of local topography on hydrological …
Are basin and reservoir tillage effective techniques to reduce runoff under sprinkler irrigation in Mediterranean conditions?
LL Silva - Agricultural Water Management, 2017 - Elsevier
The increasing use of low pressure moving sprinklers irrigation systems, like center-pivot
irrigation systems, has increased surface runoff problems. Runoff decreases the irrigation …
irrigation systems, has increased surface runoff problems. Runoff decreases the irrigation …
Training machine learning algorithms using remote sensing and topographic indices for corn yield prediction
Methods using remote sensing associated with artificial intelligence to forecast corn yield at
the management zone level can help farmers understand the spatial variability of yield …
the management zone level can help farmers understand the spatial variability of yield …
A simple method for the analysis of on‐farm strip trials
RA Lawes, RGV Bramley - Agronomy journal, 2012 - Wiley Online Library
The design and analysis of experiments in farmers' fields using commercial yield monitoring
equipment has received considerable attention in the last decade. Complex design and …
equipment has received considerable attention in the last decade. Complex design and …
[HTML][HTML] Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning
K Amankulova, N Farmonov, K Omonov… - Advances in Space …, 2024 - Elsevier
It is crucial to accurately and timely estimate crop yield within field variability for sustainable
management and precision farming applications. Various Earth observation systems have …
management and precision farming applications. Various Earth observation systems have …
Mapping within-field soil health variations using apparent electrical conductivity, topography, and machine learning
High-resolution maps of soil health measurements could help farmers finetune input
resources and management practices for profit maximization. Within-field soil heath …
resources and management practices for profit maximization. Within-field soil heath …
Soil pore characteristics and the fate of new switchgrass-derived carbon in switchgrass and prairie bioenergy cropping systems
Monoculture switchgrass and restored prairie are promising perennial feedstock sources for
bioenergy production on the lands unsuitable for conventional agriculture. Such lands often …
bioenergy production on the lands unsuitable for conventional agriculture. Such lands often …
Guidelines for in-season nitrogen application for maize (Zea mays L.) based on soil and terrain properties
N Tremblay, MY Bouroubi, P Vigneault, C Bélec - Field Crops Research, 2011 - Elsevier
Nitrogen (N) fertilizers are often applied to maize (Zea mays L.) in excess of economically
optimal rates because of the uncertainty of dealing with seasonal and spatial variability. A …
optimal rates because of the uncertainty of dealing with seasonal and spatial variability. A …
Using cross-validation to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture
Crop growth models have recently been implemented to study precision agriculture
questions within the framework of a decision support system (DSS) that automates …
questions within the framework of a decision support system (DSS) that automates …