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Mapping subsoil acidity and shallow soil across a field with information from yield maps, geophysical sensing and the grower
Springer Science and Business Media LLC - Tập 9 - Trang 3-15 - 2008
M. T. F. Wong, S. Asseng, M. J. Robertson, Y. Oliver
Management decisions, such as subsoil liming or varying fertilizer inputs to take account of soil depth and anticipated yields require knowledge of where subsoil constraints to root growth occur across the field. We used selected yield maps based on criteria derived from crop simulation, apparent soil electrical conductivity (ECa), gamma-ray emission maps and a soil type map drawn by the grower to... hiện toàn bộ
Weed Mapping with Co-Kriging Using Soil Properties
Springer Science and Business Media LLC - Tập 1 - Trang 39-52 - 1999
Torben Heisel, Annette KjÆr Ersbøll, Christian Andreasen
Our aim is to build reliable weed maps to control weeds in patches. Weed sampling is time consuming but there are some shortcuts. If an intensively sampled variable (e.g. soil property) can be used to improve estimation of a sparsely sampled variable (e.g. weed distribution), one can reduce weed sampling. The geostatistical estimation method co-kriging uses two or more sampled variables, which are... hiện toàn bộ
A discussion on the significance associated with Pearson’s correlation in precision agriculture studies
Springer Science and Business Media LLC - - 2013
James A. Taylor, Terence R. Bates
Data fusion techniques for delineation of site-specific management zones in a field in UK
Springer Science and Business Media LLC - Tập 17 - Trang 200-217 - 2015
S. M. Shaddad, S. Madrau, A. Castrignanò, A. M. Mouazen
Fusion of different data layers, such as data from soil analysis and proximal soil sensing, is essential to improve assessment of spatial variation in soil and yield. On-line visible and near infrared (Vis–NIR) spectroscopy have been proved to provide high resolution information about spatial variability of key soil properties. Multivariate geostatistics tools were successfully implemented for the... hiện toàn bộ
Spatial interpretation of plant parameters in winter wheat
Springer Science and Business Media LLC - Tập 15 - Trang 447-465 - 2013
F. Rodriguez-Moreno, V. Lukas, L. Neudert, T. Dryšlová
A methodology is described for the spatial interpretation of plant parameters (SIOPP), which was used to diagnose the nutritional status of winter wheat. The data used in this study were collected in 2010 throughout the monitoring of two fields (52 and 38 ha) with uniform and conventional agricultural management, located in the Czech Republic. The survey was carried out at BBCH 30 phenological sta... hiện toàn bộ
Evaluation of different approaches for estimating and mapping crop water status in cotton with thermal imaging
Springer Science and Business Media LLC - Tập 11 Số 1 - Trang 27-41 - 2010
V. Alchanatis, Yafit Cohen, Shabtai Cohen, Matthias Möller, Michael Sprinstin, M. Meron, J. Tsipris, Yehoshua Saranga, E. Sela
Active crop sensor to detect variability of nitrogen supply and biomass on sugarcane fields
Springer Science and Business Media LLC - Tập 13 - Trang 33-44 - 2011
G. Portz, J. P. Molin, J. Jasper
Nitrogen management has been intensively studied on several crops and recently associated with variable rate on-the-go application based on crop sensors. Such studies are scarce for sugarcane and as a biofuel crop the energy input matters, seeking high positive energy balance production and low carbon emission on the whole production system. This article presents the procedure and shows the first ... hiện toàn bộ
Investigating geostatistical methods to model within-field yield variability of cranberries for potential management zones
Springer Science and Business Media LLC - Tập 17 - Trang 247-273 - 2015
R. Kerry, P. Goovaerts, D. Giménez, P. Oudemans, E. Muñiz
Cranberry harvesting methods give only one yield value per field making characterization of within-field variation, the usual first step in precision farming, difficult. Time-consuming berry count yield and fruit rot estimations are the best “ground truth” indication of yield variation within fields. Correlations and coincidence of binary classifications based on less expensive methods such as enh... hiện toàn bộ
Sweet corn yield prediction using machine learning models and field-level data
Springer Science and Business Media LLC - Tập 25 - Trang 51-64 - 2023
Daljeet S. Dhaliwal, Martin M. Williams
The advent of modern technologies, acquisition of large amounts of crop management and weather data, and advances in computing are reshaping modern agriculture. These advancements have unlocked the power of data by providing valuable insights and more accurate yield predictions. This study utilizes a historic US sweet corn dataset to: (a) evaluate machine learning model performances on sweet corn ... hiện toàn bộ
Farm adoption of embodied knowledge and information intensive precision agriculture technology bundles
Springer Science and Business Media LLC - Tập 20 Số 2 - Trang 348-361 - 2019
Miller, N. J., Griffin, T. W., Ciampitti, I. A., Sharda, A.
On-farm adoption of individual and groups of precision agriculture technologies has grown in the past 15 years. Based on a sample of 545 farm observations collected by the Kansas Farm Management Association, farm adoption of bundles of embodied knowledge and information intensive technologies was analyzed using a Markov transition approach. Three separate analyses estimated transition probabilitie... hiện toàn bộ
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