Access detailed information on global plants including owners, reactor types, and license status. Search by location or filters. View plant details on a global map. Track license renewal and expiration dates.
by CURTISS-WRIGHT FLOW CONTROL CORPORATION★ 4.412 ratingsReferenceFreeData updated 2026-09-09
The app supports diagnosis and information for common insect and mite pests in Florida and the southeastern United States. Users can search for pests by plant host, damage symptom, or name.
Identify plants by taking photos. Provide accurate names and tips. Detect common issues like yellowing leaves, pests, or underwatering. Offer solutions and guidance. Track health and growth over time.
Identify , shrubs, and vines with detailed images and species descriptions. View range maps, bloom periods, and technical details. Search by characteristics and location. Share identification notes and save favorites.
The app provides a guideline for landscape design, project supplies, measurements, and calculations. It includes variables for soil, plants, dripline placement, irrigated area, pressure, flow rate, and emitter spacing.
The app allows control of industrial, commercial, agricultural, plant, equipment, and domestic appliances from a mobile phone. It provides a simple switch control design that connects to electrical devices for remote operation.
Track health with real-time updates on watering, repotting, and fertilizing. Snap photos to identify plants and diagnose issues like yellow leaves or pests. Receive personalized tips based on your location and type.
Record and manage growth by registering names, photos, and start dates. Set reminders for watering and fertilizing. Track progress with daily photos and notes. Include tips, growing conditions, and placement in notes.
The app identifies over 360 New Zealand coastal marine species including mammals, birds, reptiles, fish, and invertebrates. It provides details on biology, characteristics, diet, habitat, and native or endangered status for each species.
The app determines the Dark Green Color Index (DGCI) of plant leaves, which relates to chlorophyll content. It computes nitrogen application recommendations based on university research when using high-Nitrogen reference strips.