Cereal Pest ID

Developer: University of Idaho

Category: Tools

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14 installs

Ratings not yet available

2.00 monthly active users

Revenue not available

Install Trends

Monthly +5.00

Steady

ASO Keyword Dashboard

Tracking 45 keywords for Cereal Pest ID in Google Play

Developer: University of Idaho MIS Development Category: tools

Cereal Pest ID tracks 45 keywords (no keywords rank yet; 45 need traction). Key metrics: opportunity 70.9, difficulty 47.2.

Trained on a custom collection of insect pest photos and trained at the UofI

Tracked keywords

0 ranked • 45 not ranking yet

Top 10 coverage

—

Best rank — • Latest leader —

Avg opportunity

70.9

Top keyword: university

Avg difficulty

47.2

Lower scores indicate easier wins

Opportunity leaders

university

Opportunity: 74.0 • Difficulty: 40.8 • Rank —

Competitors: 180
66.1
pressure

Opportunity: 74.0 • Difficulty: 42.2 • Rank —

Competitors: 587
63.8
seasonal

Opportunity: 74.0 • Difficulty: 43.7 • Rank —

Competitors: 616
62.6
distribution

Opportunity: 74.0 • Difficulty: 38.5 • Rank —

Competitors: 244
62.6
region

Opportunity: 74.0 • Difficulty: 44.7 • Rank —

Competitors: 421
64.4

Unranked opportunities

university

Opportunity: 74.0 • Difficulty: 40.8 • Competitors: 180
pressure

Opportunity: 74.0 • Difficulty: 42.2 • Competitors: 587
seasonal

Opportunity: 74.0 • Difficulty: 43.7 • Competitors: 616
distribution

Opportunity: 74.0 • Difficulty: 38.5 • Competitors: 244
region

Opportunity: 74.0 • Difficulty: 44.7 • Competitors: 421

High competition keywords

help

Total apps: 284,042 • Major competitors: 15,700

Latest rank: — • Difficulty: 58.5
world

Total apps: 196,667 • Major competitors: 15,158

Latest rank: — • Difficulty: 57.3
real

Total apps: 184,291 • Major competitors: 13,298

Latest rank: — • Difficulty: 56.7
right

Total apps: 160,541 • Major competitors: 8,884

Latest rank: — • Difficulty: 56.8
quick

Total apps: 143,911 • Major competitors: 6,895

Latest rank: — • Difficulty: 54.9

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
ready	68	100	54	80 108,114 competing apps Median installs: 3,689 Avg rating: 4.0	—	—	9,370 major competitor apps
right	67	100	57	83 160,541 competing apps Median installs: 1,957 Avg rating: 4.0	—	—	8,884 major competitor apps
reliable	70	100	48	76 61,375 competing apps Median installs: 963 Avg rating: 4.0	—	—	2,304 major competitor apps
collection	68	100	51	80 100,511 competing apps Median installs: 3,882 Avg rating: 4.1	—	—	4,649 major competitor apps
key	68	100	52	81 123,194 competing apps Median installs: 1,394 Avg rating: 4.0	—	—	5,923 major competitor apps
help	65	100	58	87 284,042 competing apps Median installs: 2,040 Avg rating: 4.1	—	—	15,700 major competitor apps
university	74	100	41	66 14,258 competing apps Median installs: 1,743 Avg rating: 4.0	—	—	180 major competitor apps
effective	71	100	45	73 37,899 competing apps Median installs: 1,109 Avg rating: 4.1	—	—	1,243 major competitor apps
community	69	100	51	79 85,660 competing apps Median installs: 572 Avg rating: 4.1	—	—	2,734 major competitor apps
hand	71	100	45	72 32,134 competing apps Median installs: 2,098 Avg rating: 4.0	—	—	1,711 major competitor apps
tool	68	100	50	80 102,334 competing apps Median installs: 1,352 Avg rating: 4.0	—	—	4,122 major competitor apps
ai	70	100	56	75 52,960 competing apps Median installs: 1,859 Avg rating: 4.0	—	—	3,109 major competitor apps
real	66	100	57	84 184,291 competing apps Median installs: 2,403 Avg rating: 4.0	—	—	13,298 major competitor apps
quick	67	100	55	82 143,911 competing apps Median installs: 1,479 Avg rating: 4.0	—	—	6,895 major competitor apps
pressure	74	100	42	64 10,125 competing apps Median installs: 2,172 Avg rating: 4.0	—	—	587 major competitor apps
project	72	100	43	69 22,203 competing apps Median installs: 759 Avg rating: 4.0	—	—	550 major competitor apps
important	68	100	52	81 118,487 competing apps Median installs: 1,455 Avg rating: 4.1	—	—	4,304 major competitor apps
world	66	100	57	84 196,667 competing apps Median installs: 3,892 Avg rating: 4.0	—	—	15,158 major competitor apps
photo	69	100	54	77 65,849 competing apps Median installs: 4,965 Avg rating: 4.0	—	—	5,349 major competitor apps
field	72	100	44	71 28,371 competing apps Median installs: 1,184 Avg rating: 3.9	—	—	700 major competitor apps
local	69	100	52	79 86,001 competing apps Median installs: 810 Avg rating: 4.0	—	—	3,226 major competitor apps
seasonal	74	100	44	63 8,611 competing apps Median installs: 1,548 Avg rating: 4.1	—	—	616 major competitor apps
learning	68	100	51	80 105,079 competing apps Median installs: 1,291 Avg rating: 4.1	—	—	3,212 major competitor apps
upload	71	100	52	73 36,329 competing apps Median installs: 1,697 Avg rating: 3.9	—	—	1,738 major competitor apps
research	73	100	47	67 16,524 competing apps Median installs: 1,763 Avg rating: 4.0	—	—	609 major competitor apps

App Description

Trained on a custom collection of insect pest photos and trained at the UofI

Identify Cereal Pests is a research-driven field tool developed at the University of Idaho to help growers, agronomists, and researchers quickly identify the most important cereal pests found throughout the Palouse region of Idaho, Washington, and Oregon.

Built using a custom machine-learning model trained exclusively on hand-collected images of local pests, the app delivers fast, reliable identification in real-world conditions—right from your phone.

Key Features
• AI Pest Identification
Snap or upload a photo and our model identifies common cereal pests found in the Inland Northwest, trained entirely on region-specific images.
• Contribute to Regional Research
Every confirmed identification is placed anonymously on a research map, helping University of Idaho scientists better understand pest distribution and seasonal trends.
• Built for the Palouse
The pests targeted in this project are specific to the cereal-growing regions of Idaho, eastern Washington, and northeastern Oregon.
• Field-Ready Simplicity
Designed for quick use during scouting or field checks, with straightforward tools and no unnecessary complexity.

Why It Matters
Cereal pest pressure can vary dramatically across the Palouse. By combining AI identification with community-sourced mapping, this project supports early detection, better monitoring, and more effective integrated pest management.