Part 1: GIS, GPS, RS and Precision FarmingInternational audienceVariable fertilization for crops, like corn, depends on monitoring nutrition condition. Thus, hyperspectral reflectance was used to predict chlorophyll and total nitrogen content under different N,K treatments during corn growth. The area of the experimental field was divided into 3 strips with different nitrogen treatment (N1:0 kg/ha–low, N2:314 kg/ha–normal, and N3:653 kg/ha–high). In each strip, there were 3 repetitions of 3 potassium treatments( K1:0 kg/ha–low, K2:214 kg/ha–normal, and K3:500 kg/ha–high). The results show that growth stages happened in advance under low nitrogen treatment and reflectance intensity, total N, and chlorophyll content are all largest under N2K1...
Adjusting N fertilizer application to crop requirements is a key issue to improve fertilizer efficie...
The nitrogen content is an important indicator affecting corn plants’ growth status. Most of the sta...
Canopy reflectance of corn was collected with ASD FieldSpec during different growing stages, and sim...
Significant portions of nitrogen (40–60%), phosphorus (80–90%) and potash (30–50%) applied in agricu...
This paper presents a method for mapping the nitrogen (N) status in a maize field using hyperspectra...
This study used hyperspectral data to determine nitrogen, weed, and water stresses in a corn (Zea m...
Plant nitrogen (N) deficiency often limits crop productivity. Early detection of plant N deficiency ...
Controlled application of agricultural nitrogen (N) has recently become a focus of remote sensing te...
The use of remote sensing for crop production applications is becoming increasingly popular. Polluti...
Field spatial variability presents a problem in making nitrogen (N) fertilizer recommendations for c...
Estimating crop nitrogen (N) status with sensors can be useful to adjust fertilizer levels to crop r...
Single-rate blanket application of fertilizer nitrogen (N) can result in an over or under applicatio...
Nitrogen (N) fertilizer is one of the most important and expensive inputs for a corn crop. Current I...
nteractions between water and N may impact remote-sensing-based N recommendations. The objectives of...
Applications of remote sensing in crop production are becoming increasingly popular due in part to a...
Adjusting N fertilizer application to crop requirements is a key issue to improve fertilizer efficie...
The nitrogen content is an important indicator affecting corn plants’ growth status. Most of the sta...
Canopy reflectance of corn was collected with ASD FieldSpec during different growing stages, and sim...
Significant portions of nitrogen (40–60%), phosphorus (80–90%) and potash (30–50%) applied in agricu...
This paper presents a method for mapping the nitrogen (N) status in a maize field using hyperspectra...
This study used hyperspectral data to determine nitrogen, weed, and water stresses in a corn (Zea m...
Plant nitrogen (N) deficiency often limits crop productivity. Early detection of plant N deficiency ...
Controlled application of agricultural nitrogen (N) has recently become a focus of remote sensing te...
The use of remote sensing for crop production applications is becoming increasingly popular. Polluti...
Field spatial variability presents a problem in making nitrogen (N) fertilizer recommendations for c...
Estimating crop nitrogen (N) status with sensors can be useful to adjust fertilizer levels to crop r...
Single-rate blanket application of fertilizer nitrogen (N) can result in an over or under applicatio...
Nitrogen (N) fertilizer is one of the most important and expensive inputs for a corn crop. Current I...
nteractions between water and N may impact remote-sensing-based N recommendations. The objectives of...
Applications of remote sensing in crop production are becoming increasingly popular due in part to a...
Adjusting N fertilizer application to crop requirements is a key issue to improve fertilizer efficie...
The nitrogen content is an important indicator affecting corn plants’ growth status. Most of the sta...
Canopy reflectance of corn was collected with ASD FieldSpec during different growing stages, and sim...