[go: up one dir, main page]

Bhatti, 2018 - Google Patents

Variable Rate Irrigation Using a Spatial Evapotranspiration Model With Remote Sensing Imagery and Soil Water Content Measurements

Bhatti, 2018

View PDF
Document ID
3711750484621042359
Author
Bhatti S
Publication year

External Links

Snippet

Variable rate irrigation may help in intensification of agriculture by producing more yield per unit inputs. Real time spatial information about water balance components is important for designing VRI prescription maps. This work involved use of a spatial evapotranspiration …
Continue reading at digitalcommons.unl.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining

Similar Documents

Publication Publication Date Title
US11672212B2 (en) Customized land surface modeling for irrigation decision support for targeted transport of nitrogen and other nutrients to a crop root zone in a soil system
Bullock et al. The data‐intensive farm management project: changing agronomic research through on‐farm precision experimentation
Jin et al. Crop model-and satellite imagery-based recommendation tool for variable rate N fertilizer application for the US Corn system
Nagy et al. Wheat and maize yield forecasting for the Tisza river catchment using MODIS NDVI time series and reported crop statistics
Bhatti et al. Site-specific irrigation management in a sub-humid climate using a spatial evapotranspiration model with satellite and airborne imagery
US9880537B2 (en) Customized land surface modeling for irrigation decision support in a crop and agronomic advisory service in precision agriculture
Morel et al. Coupling a sugarcane crop model with the remotely sensed time series of fIPAR to optimise the yield estimation
Leslie et al. Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production
Abazi et al. WABOL: A conceptual water balance model for analyzing rainfall water use in olive orchards under different soil and cover crop management strategies
Thorp et al. Integrating geospatial data and cropping system simulation within a geographic information system to analyze spatial seed cotton yield, water use, and irrigation requirements
Barker et al. Variable rate irrigation of maize and soybean in West-Central Nebraska under full and deficit irrigation
Meshesha et al. Developing crop yield forecasting models for four major Ethiopian agricultural commodities
Abou Ali et al. From pixel to yield: Forecasting potato productivity in Lebanon and Idaho
Khodjaev et al. An accuracy assessment of satellite-based cotton yield estimation using panel data regression: a case study of Uzbekistan
Kukal et al. Long-term spatial and temporal maize and soybean evapotranspiration trends derived from ground-based and satellite-based datasets over the great plains
Assa et al. Modeling canopy water content in the assessment for rainfall induced surface and groundwater nitrate contamination: The Bilate cropland sub watershed
Vanino et al. Earth observation for improving irrigation water management: A case-study from Apulia Region in Italy
Schneider et al. Using remote sensing data to model water, carbon, and nitrogen fluxes with PROMET-V
Bhatti Variable Rate Irrigation Using a Spatial Evapotranspiration Model With Remote Sensing Imagery and Soil Water Content Measurements
Howell et al. Integrating multiple irrigation technologies for overall improvement in irrigation management
Hein Biophysical Modelling and Analysis of Ecosystem Services in an Ecosystem Accounting Context
Teshite Validation of fao-frame remote sensing based agricultural water productivity estimates in the upper Awash River basin, Ethiopia
Wang Landscape phenology and soil moisture dynamics influenced by irrigation in a desert urban environment
Njogu et al. Developing a Crop Yield Estimation Method from Remotely Sensed Metrics Using Artificial Intelligence; Case Study: Spain and Western Kenya
Bastiaanssen et al. An operational satellite-based irrigation monitoring and scheduling tool for saving water in irrigation