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AI in Agriculture UnitFaculty of Agriculture — Kafrelsheikh University
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Model hub

Every model states its method, its data source and its status. Experimental models are never presented as operational.

Agronomy models

A1

Leaching requirement

Available
Method
FAO-29: LR = ECw / (5·ECe,t − ECw), with crop salt-tolerance thresholds (Maas–Hoffman).
Inputs
Calibrated profile ECe, irrigation water EC, crop.
Outputs
Leaching fraction and required leaching depth (mm).

Version 1.0 · Physics-based

A2

Soil salinity forecast

Experimental
Method
LightGBM baseline, then LSTM once field data accumulates.
Inputs
EC, moisture and water-table series, ET0, rain, irrigation events.
Outputs
Forecast ECe per depth over 7 days.

No release yet

A3

Water table forecast & drainage trigger

Experimental
Method
LightGBM with an operating rule at the crop's critical depth.
Inputs
Water-table depth, irrigation, rain, ET0.
Outputs
Forecast depth and a drainage run recommendation.

Version 0.1 · Physics-based

A4

Irrigation scheduling

Available
Method
FAO-56 water balance with a salinity stress factor as the baseline, plus a DDPG agent trained in simulation. Agent actions pass a rule-based safety envelope.
Inputs
Soil moisture, crop and stage, ET0, salinity.
Outputs
Next irrigation date and depth (mm).

Version 1.0 · Physics-based

A5

Salt-stress detection from images

Planned
Method
CNN with transfer learning.
Inputs
Field or drone images.
Outputs
Salt-stress map.

No release yet

A6

Field salt balance

Available
Method
Salt mass in with irrigation versus out with drainage, and the change in profile storage.
Inputs
Irrigation and drainage flow and EC, profile ECe.
Outputs
Net salt accumulation or removal (t/feddan).

Version 1.0 · Physics-based

Aquaculture models

C1

Un-ionized ammonia

Available
Method
Emerson et al. (1975): NH3 fraction of total ammonia as a function of pH and temperature.
Inputs
Total ammonia nitrogen, pH, water temperature.
Outputs
NH3 concentration and risk level.

Version 1.0 · Physics-based

C2

Dissolved oxygen & dawn risk

Available
Method
DO saturation (APHA 4500-O) and projection of the overnight decline to dawn.
Inputs
DO, temperature and salinity readings.
Outputs
Percent saturation, projected dawn minimum and aeration advice.

Version 1.0 · Physics-based

C3

Daily feed ration

Available
Method
Tilapia feeding tables by size and temperature, reduced when oxygen is low or ammonia is high.
Inputs
Fish count, average weight, water temperature, DO, ammonia.
Outputs
Daily feed, number of meals and feed conversion ratio.

Version 1.0 · Physics-based

Company management models

B1

Subscription demand forecast

Planned
Method
Time-series forecasting (ETS or Prophet).
Inputs
Past subscriptions, season, areas.
Outputs
Expected subscriptions next season.

No release yet

B2

Farmer churn risk

Planned
Method
Gradient-boosting classifier.
Inputs
Usage, response to advice, payments.
Outputs
Probability each farmer does not renew.

No release yet

B3

Company KPIs

Planned
Method
Indicator dashboard (no machine learning).
Inputs
Revenue, cost per feddan, water saved.
Outputs
Monthly and seasonal indicators.

No release yet

Model hub | AI in Agriculture Unit