def potassium_check(k):
date1 = date(2019, 7, 16) #actual start date of the crop
date2 = date.today() #current date
day_count = abs(date2 - date1).days
list = []
df = pd.read_csv("potassium_data.csv", header=None)
k = int(k)
r, c = df.shape
#level from 1 to 6 where 1 stands for dry and going on to state 6 fully moist
array_level = [[0] * c] * r
list = [[]] * r
list = df.values.tolist()
X_min = np.amin(array_level, axis=0)
X_max = np.amax(array_level, axis=0)
X_mean = np.mean(array_level, axis=0)
X_mid = []
for i in range(0, 134):
X_mid.append((X_max[i] + X_min[i]) / 2)
check_level = 2 #2 means ok as reuired
###check for the level
if (X_mean[day_count] >= 2.3 and X_mean[day_count] <= 2.8):
if (k >= 1.6 and k <= 2.2):
check_level = 1 #1 means low
elif (k < 1.6):
check_level = 0 #0 very low
elif (X_mean[day_count] >= 2.9):
if (k >= 3.4):
check_level = 2
elif (k <= 2.3 and k >= 2.8):
check_level = 1
elif (k <= 1.6 and k >= 2.2):
check_level = 0
elif (X_mean[day_count] >= 1.6 and X_mean[day_count] <= 2.2):
if (k < 1.6):
check_level = 1
else:
check_level = 2
print("done")
sms.notification(check_level, "potassium")
return X_mean[day_count]
def phosphorous_check(p):
date1 = date(yyyy, mm, dd) #actual start date of the crop
date2 = date.today() #current date
day_count = abs(date2 - date1).days
list = []
df = pd.read_csv("phosphorous_data.csv", header=None)
p = int(p)
r, c = df.shape
#level from 1 to 6 where 1 stands for dry and going on to state 6 fully moist
array_level = [[0] * c] * r
list = [[]] * r
list = df.values.tolist()
X_min = np.amin(array_level, axis=0)
X_max = np.amax(array_level, axis=0)
X_mean = np.mean(array_level, axis=0)
X_mid = []
for i in range(0, 134):
X_mid.append((X_max[i] + X_min[i]) / 2)
check_level = 2 #2 means ok as reuired
###check for the level
if (X_mean[day_count] >= 2.9 and X_mean[day_count] <= 3.3):
if (p >= 2.45 and p <= 2.8):
check_level = 1 #1 means low
elif (p < 2.45):
check_level = 0 #0 very low
elif (X_mean[day_count] >= 3.4):
if (p >= 3.4):
check_level = 2
elif (p <= 2.45 and p >= 2.8):
check_level = 0
elif (p <= 3.3 and p >= 2.9):
check_level = 1
elif (X_mean[day_count] >= 2.45 and X_mean[day_count] <= 2.8):
if (p < 2.45):
check_level = 1
else:
check_level = 2
sms.notification(check_level, "phosphorous")
return X_mean[day_count]
def nitrogen_check(n):
date1 = date(yyyy, mm, dd) #actual start date of the crop
date2 = date.today() #current date
day_count = abs(date2 - date1).days
list = []
df = pd.read_csv("nitrogen_data.csv", header=None)
n = int(n)
r, c = df.shape
#level from 1 to 6 where 1 stands for dry and going on to state 6 fully moist
array_level = [[0] * c] * r
list = [[]] * r
list = df.values.tolist()
X_min = np.amin(array_level, axis=0)
X_max = np.amax(array_level, axis=0)
X_mean = np.mean(array_level, axis=0)
X_mid = []
for i in range(0, 134): #assumed level range
X_mid.append((X_max[i] + X_min[i]) / 2)
check_level = 2 #2 means ok as reuired
###check for the level
if (X_mean[day_count] >= 3.8 and X_mean[day_count] <= 4.1):
if (n >= 3.5 and n <= 3.8):
check_level = 1 #1 means low
elif (n < 3.5):
check_level = 0 #0 very low
elif (X_mean[day_count] >= 4.2):
if (n >= 4.2):
check_level = 2
elif (n >= 3.5 and n < 3.8):
check_level = 0
elif (n >= 3.8 and n <= 4.1):
check_level = 1
elif (X_mean[day_count] >= 3.5 and X_mean[day_count] < 3.8):
if (n < 3.45):
check_level = 1
else:
check_level = 2
sms.notification(check_level, "nitrogen")
return X_mean[day_count]
print(float(upto_sm))
if (float(wl) <= upto_wl and float(sm) >= upto_sm) :
if(rain == 0):
print("##########################################")
print("\nIrrigation is required")
print("------------------------------------------")
print("Water pump has been turned ON")
try:
motor.motor_control(upto_wl,upto_sm)
except KeyboardInterrupt:
print("Keyboard Interrupt!!!")
exit(0)
sms.notification(2,"Water pump has been turned ON")
print("------------------------------------------")
print("Water _level has been maintained")
print("------------------------------------------")
print("Next iteration will be after 6hrs")
print("##########################################")
else:
print("------------------------------------------")
print("Rain is expected so do not irrigate ")
print("------------------------------------------")
print("Next iteration will be after 6hrs")
print("------------------------------------------")
else :
print("------------------------------------------")