diff --git a/mypy.ini b/mypy.ini
index f85d85261..01d002dc2 100644
--- a/mypy.ini
+++ b/mypy.ini
@@ -3,7 +3,7 @@
 [mypy-scipy.*,requests,pandas,compiler_gym,compiler_gym.*,gym,gym.*,gym_anm,matplotlib.*,pytest,cma,bayes_opt.*,torchvision.models,torch.*,mpl_toolkits.*,fcmaes.*,tqdm,pillow,PIL,PIL.Image,sklearn.*,pyomo.*,pyproj,IOHexperimenter.*,tensorflow,koncept.models,cv2,imquality,imquality.brisque,lpips,mixsimulator.*,networkx.*,cdt.*,pymoo,pymoo.*,bayes_optim.*,olympus.*]
 ignore_missing_imports = True
 
-[mypy-nevergrad.functions.rl.agents,torchvision,torchvision.*,nevergrad.functions.games.*,nevergrad.functions.multiobjective.pyhv,nevergrad.optimization.test_doc,,pymoo,pymoo.*,pybullet,pybullet_envs,pybulletgym,pyvirtualdisplay]
+[mypy-nevergrad.functions.rl.agents,torchvision,torchvision.*,nevergrad.functions.games.*,nevergrad.functions.multiobjective.pyhv,nevergrad.optimization.test_doc,,pymoo,pymoo.*,pybullet,pybullet_envs,pybulletgym,pyvirtualdisplay,aquacrop.*]
 ignore_missing_imports = True
 ignore_errors = True
 
diff --git a/nevergrad/benchmark/experiments.py b/nevergrad/benchmark/experiments.py
index 55f5817d7..25f8d9b48 100644
--- a/nevergrad/benchmark/experiments.py
+++ b/nevergrad/benchmark/experiments.py
@@ -21,6 +21,7 @@
 from nevergrad.functions.arcoating import ARCoating
 from nevergrad.functions import images as imagesxp
 from nevergrad.functions.powersystems import PowerSystem
+from nevergrad.functions.ac import NgAquacrop
 from nevergrad.functions.stsp import STSP
 from nevergrad.functions.rocket import Rocket
 from nevergrad.functions.mixsimulator import OptimizeMix
@@ -1157,6 +1158,23 @@ def realworld(seed: tp.Optional[int] = None) -> tp.Iterator[Experiment]:
                             yield xp
 
 
+@registry.register
+def aquacrop_fao(seed: tp.Optional[int] = None) -> tp.Iterator[Experiment]:
+    """FAO Crop simulator. Maximize yield."""
+
+    funcs = [NgAquacrop(i, 300.0 + 150.0 * np.cos(i)) for i in range(3, 7)]
+    seedg = create_seed_generator(seed)
+    optims = get_optimizers("basics", seed=next(seedg))
+    for budget in [25, 50, 100, 200, 400, 800, 1600]:
+        for num_workers in [1, 30]:
+            if num_workers < budget:
+                for algo in optims:
+                    for fu in funcs:
+                        xp = Experiment(fu, algo, budget, num_workers=num_workers, seed=next(seedg))
+                        if not xp.is_incoherent:
+                            yield xp
+
+
 @registry.register
 def rocket(seed: tp.Optional[int] = None, seq: bool = False) -> tp.Iterator[Experiment]:
     """Rocket simulator. Maximize max altitude by choosing the thrust schedule, given a total thrust.
diff --git a/nevergrad/functions/ac/__init__.py b/nevergrad/functions/ac/__init__.py
new file mode 100644
index 000000000..a62f6f1d9
--- /dev/null
+++ b/nevergrad/functions/ac/__init__.py
@@ -0,0 +1,6 @@
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+from .ac import NgAquacrop as NgAquacrop
diff --git a/nevergrad/functions/ac/ac.py b/nevergrad/functions/ac/ac.py
new file mode 100644
index 000000000..cc7e557a9
--- /dev/null
+++ b/nevergrad/functions/ac/ac.py
@@ -0,0 +1,74 @@
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+"""
+Optimization of the FAO crop management model.
+Based on 
+https://colab.research.google.com/github/thomasdkelly/aquacrop/blob/master/tutorials/AquaCrop_OSPy_Notebook_3.ipynb#scrollTo=YDm931IGNxCb
+"""
+
+from nevergrad.parametrization import parameter
+from ..base import ExperimentFunction
+from ..base import UnsupportedExperiment as UnsupportedExperiment
+
+# pylint: disable=too-many-locals,too-many-statements
+
+# Inspired by
+# https://colab.research.google.com/github/thomasdkelly/aquacrop/blob/master/tutorials/AquaCrop_OSPy_Notebook_3.ipynb#scrollTo=YDm931IGNxCb
+
+# In the colab it was:
+# from aquacrop.classes import *
+# from aquacrop.core import *
+
+
+class NgAquacrop(ExperimentFunction):
+    def __init__(self, num_smts: int, max_irr_seasonal: float) -> None:
+        self.num_smts = num_smts
+        self.max_irr_seasonal = max_irr_seasonal
+        super().__init__(self.loss, parametrization=parameter.Array(shape=(num_smts,)))
+
+    def loss(self, smts):
+        try:
+            import aquacrop
+        except ImportError:
+            raise UnsupportedExperiment("Please install aquacrop==0.2 for FAO aquacrop experiments")
+        path = aquacrop.core.get_filepath("champion_climate.txt")
+        wdf = aquacrop.core.prepare_weather(path)
+
+        def run_model(smts, max_irr_season, year1, year2):
+            """
+            Function to run model and return results for given set of soil moisture targets.
+            """
+
+            maize = aquacrop.classes.CropClass("Maize", PlantingDate="05/01")  # define crop
+            loam = aquacrop.classes.SoilClass("ClayLoam")  # define soil
+            init_wc = aquacrop.classes.InitWCClass(
+                wc_type="Pct", value=[70]
+            )  # define initial soil water conditions
+
+            irrmngt = aquacrop.classes.IrrMngtClass(
+                IrrMethod=1, SMT=smts, MaxIrrSeason=max_irr_season
+            )  # define irrigation management
+
+            # create and run model
+            model = aquacrop.core.AquaCropModel(
+                f"{year1}/05/01", f"{year2}/10/31", wdf, loam, maize, IrrMngt=irrmngt, InitWC=init_wc
+            )
+            model.initialize()
+            model.step(till_termination=True)
+            return model.Outputs.Final
+
+        def evaluate(smts) -> float:  # ,max_irr_season,test=False):
+            """
+            Function to run model and calculate reward (yield) for given set of soil moisture targets
+            """
+            max_irr_season = self.max_irr_seasonal
+            assert len(smts) == self.num_smts
+            out = run_model(smts, max_irr_season, year1=2016, year2=2018)
+            # get yields.
+            reward = out["Yield (tonne/ha)"].mean()
+            return -reward
+
+        return evaluate(smts)
diff --git a/nevergrad/functions/ac/test_ac.py b/nevergrad/functions/ac/test_ac.py
new file mode 100644
index 000000000..f86186921
--- /dev/null
+++ b/nevergrad/functions/ac/test_ac.py
@@ -0,0 +1,18 @@
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+import numpy as np
+from . import ac
+
+
+def test_ac() -> None:
+    func = ac.NgAquacrop(4, 12.0)
+    x = 50.0 * np.random.rand(func.dimension)
+    value = func(x)
+    value2 = func(x)
+    x = 50.0 * np.random.rand(func.dimension)
+    value3 = func(x)
+    np.testing.assert_almost_equal(value, value2)
+    assert value != value3