[go: up one dir, main page]

Mortensen et al., 1997 - Google Patents

Weed spatial variation and weed management

Mortensen et al., 1997

Document ID
3433161284865370608
Author
Mortensen D
Dieleman J
Johnson G
Hatfield J
Buhler D
Stewert B
Publication year
Publication venue
Integrated weed and soil management

External Links

Snippet

Weed spatial variation and weed management Page 305 Weed Spatial Variation and Weed Management David A. Mortensen, J. Anita Dieleman, and Gregg A. Johnson I. Introduction II. IPM Principles-The Concept of Population Management III. Weed Distribution, Density, and …
Continue reading at books.google.com (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
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B79/00—Methods for working soil
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING OR TRAPPING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M21/00—Apparatus for the destruction of unwanted vegetation, e.g. weeds
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING OR TRAPPING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M7/00—Special adaptations or arrangements of liquid-spraying apparatus for purposes covered by this subclass
    • A01M7/0089—Regulating or controlling systems
    • 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management

Similar Documents

Publication Publication Date Title
Scotford et al. Applications of spectral reflectance techniques in northern European cereal production: a review
Gaba et al. Agroecological weed control using a functional approach: a review of cropping systems diversity
US11144995B2 (en) Insurance product associated with risk management on the application of crop inputs
Singh Precision agriculture in india–opportunities and challenges
US20060015374A1 (en) Risk management on the application of crop inputs
CA3097615C (en) Method and system for managing treatment of a crop employing localised pest phenology information
US20060015253A1 (en) Risk management on the application of crop inputs
Johnson et al. Site‐specific weed management: Current and future directions
Machado et al. Spatial and temporal variability of sorghum grain yield: Influence of soil, water, pests, and diseases relationships
Mehta et al. Concept of climate smart villages using artificial intelligence/machine learning
de Oliveira Aparecido et al. Models for simulating the frequency of pests and diseases of Coffea arabica L.
Jain et al. Agriculture assistant for crop prediction and farming selection using machine learning model with real-time data using imaging through uav drone
Usama Application of digital technologies & remote sensing in precision agriculture for sustainable crop production
Gerhards Site-specific weed control
Mortensen et al. Weed spatial variation and weed management
Fink Benchmarking alfalfa water use efficiency and quantifying yield gaps in the US central Great Plains
CN119255697A (en) System and method for simulating crop yield based on detection of plant stressors in crops
Jeyalakshmi et al. Al in Optimisation of Agricultural Output in Precision Agriculture
Lazebnik et al. Economical–epidemiological analysis of the coffee trees rust pandemic
Branson Using conservation agriculture and precision agriculture to improve a farming system
Barroso et al. Economic and management value of weed maps at harvest in semi-arid cropping systems of the US Pacific Northwest
Dammer Variable rate application of fungicides
Suebsombut et al. Classification and trends in knowledge research relevance and context for smart farm technology development
Bhardwaj Precision agriculture and data analytics
Mahmood et al. Adaptation of precision agriculture to root crops (sugar beet and potato).