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Evaluation of In-Season Management Zones from High-Resolution Soil and Plant Sensors
by
Cola, Gabriele
, Cavalli, Daniele
, Corti, Martina
, Bregaglio, Simone
, Marino Gallina, Pietro
, Degano, Luigi
, Vigoni, Antonio
, Ortuani, Bianca
, Cabassi, Giovanni
in
Agricultural management
/ Agricultural production
/ Agriculture
/ Crop development
/ Crop growth
/ Cropping systems
/ Crops
/ data collection
/ Data sources
/ Developmental stages
/ Digital cameras
/ Electrical conductivity
/ Electrical resistivity
/ Elongation
/ EMI sensor
/ environmental sustainability
/ Evaluation
/ farm income
/ Farmers
/ Italy
/ management zones definition
/ monitoring
/ normalized difference vegetation indices
/ Precision agriculture
/ Reliability analysis
/ Sensors
/ soil apparent electrical conductivity
/ Soil conductivity
/ soil electrical conductivity
/ Soil properties
/ Soils
/ stem elongation
/ tillering
/ UAV
/ vegetation index
/ Winter wheat
/ within-field spatial variability
/ yield mapping
2020
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Evaluation of In-Season Management Zones from High-Resolution Soil and Plant Sensors
by
Cola, Gabriele
, Cavalli, Daniele
, Corti, Martina
, Bregaglio, Simone
, Marino Gallina, Pietro
, Degano, Luigi
, Vigoni, Antonio
, Ortuani, Bianca
, Cabassi, Giovanni
in
Agricultural management
/ Agricultural production
/ Agriculture
/ Crop development
/ Crop growth
/ Cropping systems
/ Crops
/ data collection
/ Data sources
/ Developmental stages
/ Digital cameras
/ Electrical conductivity
/ Electrical resistivity
/ Elongation
/ EMI sensor
/ environmental sustainability
/ Evaluation
/ farm income
/ Farmers
/ Italy
/ management zones definition
/ monitoring
/ normalized difference vegetation indices
/ Precision agriculture
/ Reliability analysis
/ Sensors
/ soil apparent electrical conductivity
/ Soil conductivity
/ soil electrical conductivity
/ Soil properties
/ Soils
/ stem elongation
/ tillering
/ UAV
/ vegetation index
/ Winter wheat
/ within-field spatial variability
/ yield mapping
2020
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Evaluation of In-Season Management Zones from High-Resolution Soil and Plant Sensors
by
Cola, Gabriele
, Cavalli, Daniele
, Corti, Martina
, Bregaglio, Simone
, Marino Gallina, Pietro
, Degano, Luigi
, Vigoni, Antonio
, Ortuani, Bianca
, Cabassi, Giovanni
in
Agricultural management
/ Agricultural production
/ Agriculture
/ Crop development
/ Crop growth
/ Cropping systems
/ Crops
/ data collection
/ Data sources
/ Developmental stages
/ Digital cameras
/ Electrical conductivity
/ Electrical resistivity
/ Elongation
/ EMI sensor
/ environmental sustainability
/ Evaluation
/ farm income
/ Farmers
/ Italy
/ management zones definition
/ monitoring
/ normalized difference vegetation indices
/ Precision agriculture
/ Reliability analysis
/ Sensors
/ soil apparent electrical conductivity
/ Soil conductivity
/ soil electrical conductivity
/ Soil properties
/ Soils
/ stem elongation
/ tillering
/ UAV
/ vegetation index
/ Winter wheat
/ within-field spatial variability
/ yield mapping
2020
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Evaluation of In-Season Management Zones from High-Resolution Soil and Plant Sensors
Journal Article
Evaluation of In-Season Management Zones from High-Resolution Soil and Plant Sensors
2020
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Overview
The adoption of precision agriculture has the potential to increase the environmental sustainability of cropping systems as well as farmers’ income. Farmers in transition to precision agriculture need low-input and effective protocols to delineate homogenous management zones to optimize their actions without past knowledge e.g., yield maps. Different approaches have been developed so far, based on the analysis of the within-field variability in crop and soil properties, but procedures were rarely suited for operational conditions. We identified here a low-inputs protocol to map management zones from soil electrical conductivity and/or crop vegetation indices, using a winter wheat field in northern Italy as a pilot case. The reliability of the alternative data sources was evaluated at three crop development stages using a yield map as reference. Red-edge and NIR (NDRE) bands were the most reliable data sources for management zones identification, with 62%, 68%, and 74% of correct classifications at early tillering, stem elongation, and late booting, respectively. Our work identifies a minimum dataset for accurate management zones’ definition and highlights that in-season monitoring based on the red-edge band was able to reliably identify management zones already at early tillering, despite minor differences in crop growth.
Publisher
MDPI AG
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