To get the full weather data for a parcel a minimum of 4 API calls are necessary. Two of these APIs are straightforward (api/data/forecast5/ and api/data/spray-forecast/), but the third weather data api (api/data/flight-forecast5/) depends on an API from the farm calendar (api/v1/AgriculturalMachines/) and is unwieldy as a result.
This will cause major performance issues via overloading the gatekeeper with requests, thus a more centralized approach would benefit the system.
My proposed solution is to create an API that handles all of the fetching and data parsing on the backend, and returns a response that is more robust for the frontend. A response such as this would work best:
{
"2025-09-26": {
"12:00:00": {
"ambient_temperature": 36.19,
"ambient_humidity": 19,
"wind_speed": 7.79,
"wind_direction": 289
},
"15:00:00": {
"ambient_temperature": 33.46,
"ambient_humidity": 23,
"wind_speed": 5.27,
"wind_direction": 307
},
"18:00:00": {
"ambient_temperature": 27.76,
"ambient_humidity": 44,
"wind_speed": 1.54,
"wind_direction": 345
},
"21:00:00": {
"ambient_temperature": 27.95,
"ambient_humidity": 35,
"wind_speed": 2.07,
"wind_direction": 13
}
},
"2025-09-27": {
"00:00:00": {
"ambient_temperature": 26.4,
"ambient_humidity": 34,
"wind_speed": 0.94,
"wind_direction": 319
},
"03:00:00": {
"ambient_temperature": 25.06,
"ambient_humidity": 40,
"wind_speed": 0.59,
"wind_direction": 297
},
"06:00:00": {
"ambient_temperature": 31.91,
"ambient_humidity": 21,
"wind_speed": 0.64,
"wind_direction": 316
},
"09:00:00": {
"ambient_temperature": 37.45,
"ambient_humidity": 13,
"wind_speed": 4.67,
"wind_direction": 298
},
"12:00:00": {
"ambient_temperature": 38.21,
"ambient_humidity": 14,
"wind_speed": 8.17,
"wind_direction": 294
},
"15:00:00": {
"ambient_temperature": 33.38,
"ambient_humidity": 20,
"wind_speed": 5.51,
"wind_direction": 307
},
"18:00:00": {
"ambient_temperature": 28.88,
"ambient_humidity": 32,
"wind_speed": 0.76,
"wind_direction": 335
},
"21:00:00": {
"ambient_temperature": 28.44,
"ambient_humidity": 31,
"wind_speed": 1.35,
"wind_direction": 19
}
},
"2025-09-28": {
"00:00:00": {
"ambient_temperature": 27.86,
"ambient_humidity": 29,
"wind_speed": 1.47
},
"03:00:00": {
"ambient_temperature": 27.8,
"ambient_humidity": 27,
"wind_speed": 1.68,
"wind_direction": 21
},
"06:00:00": {
"ambient_temperature": 35.29,
"ambient_humidity": 15,
"wind_speed": 0.61,
"wind_direction": 52
},
"09:00:00": {
"ambient_temperature": 41.12,
"ambient_humidity": 11,
"wind_speed": 4.75,
"wind_direction": 286
},
"12:00:00": {
"ambient_temperature": 41.48,
"ambient_humidity": 12,
"wind_speed": 10.97,
"wind_direction": 293
},
"15:00:00": {
"ambient_temperature": 34.61,
"ambient_humidity": 20,
"wind_speed": 4.76,
"wind_direction": 311
},
"18:00:00": {
"ambient_temperature": 30.3,
"ambient_humidity": 30,
"wind_speed": 0.35,
"wind_direction": 202
},
"21:00:00": {
"ambient_temperature": 28.84,
"ambient_humidity": 35,
"wind_speed": 0.23,
"wind_direction": 260
}
},
"2025-09-29": {
"00:00:00": {
"ambient_temperature": 30.18,
"ambient_humidity": 26,
"wind_speed": 2.09,
"wind_direction": 41
},
"03:00:00": {
"ambient_temperature": 29.91,
"ambient_humidity": 21,
"wind_speed": 0.82,
"wind_direction": 46
},
"06:00:00": {
"ambient_temperature": 37.68,
"ambient_humidity": 12,
"wind_speed": 0.78,
"wind_direction": 5
},
"09:00:00": {
"ambient_temperature": 41.95,
"ambient_humidity": 10,
"wind_speed": 5.63,
"wind_direction": 239
},
"12:00:00": {
"ambient_temperature": 38.53,
"ambient_humidity": 25,
"wind_speed": 7.9,
"wind_direction": 260
},
"15:00:00": {
"ambient_temperature": 34.23,
"ambient_humidity": 30,
"wind_speed": 2.93,
"wind_direction": 277
},
"18:00:00": {
"ambient_temperature": 31.32,
"ambient_humidity": 36,
"wind_speed": 0.7,
"wind_direction": 35
},
"21:00:00": {
"ambient_temperature": 29.07,
"ambient_humidity": 43,
"wind_speed": 0.67,
"wind_direction": 199
}
},
"2025-09-30": {
"00:00:00": {
"ambient_temperature": 28.09,
"ambient_humidity": 46,
"wind_speed": 0.97,
"wind_direction": 215
},
"03:00:00": {
"ambient_temperature": 27.59,
"ambient_humidity": 43,
"wind_speed": 0.74,
"wind_direction": 111
},
"06:00:00": {
"ambient_temperature": 35.61,
"ambient_humidity": 20,
"wind_speed": 1.02,
"wind_direction": 255
},
"09:00:00": {
"ambient_temperature": 40.57,
"ambient_humidity": 15,
"wind_speed": 5.91,
"wind_direction": 273
},
"12:00:00": {
"ambient_temperature": 39.14,
"ambient_humidity": 24,
"wind_speed": 8.48,
"wind_direction": 273
},
"15:00:00": {
"ambient_temperature": 34.5,
"ambient_humidity": 29,
"wind_speed": 4.18,
"wind_direction": 280
},
"18:00:00": {
"ambient_temperature": 29.92,
"ambient_humidity": 45,
"wind_speed": 0.58,
"wind_direction": 219
},
"21:00:00": {
"ambient_temperature": 28.22,
"ambient_humidity": 55,
"wind_speed": 1.52,
"wind_direction": 200
}
},
"2025-10-01": {
"00:00:00": {
"ambient_temperature": 26.7,
"ambient_humidity": 62,
"wind_speed": 1.08,
"wind_direction": 221
},
"03:00:00": {
"ambient_temperature": 26.31,
"ambient_humidity": 57,
"wind_speed": 0.51,
"wind_direction": 140
},
"06:00:00": {
"ambient_temperature": 34.07,
"ambient_humidity": 28,
"wind_speed": 1.56,
"wind_direction": 269
},
"09:00:00": {
"ambient_temperature": 39.47,
"ambient_humidity": 17,
"wind_speed": 4.86,
"wind_direction": 285
}
}
}
To get the full weather data for a parcel a minimum of 4 API calls are necessary. Two of these APIs are straightforward (
api/data/forecast5/andapi/data/spray-forecast/), but the third weather data api (api/data/flight-forecast5/) depends on an API from the farm calendar (api/v1/AgriculturalMachines/) and is unwieldy as a result.This will cause major performance issues via overloading the gatekeeper with requests, thus a more centralized approach would benefit the system.
My proposed solution is to create an API that handles all of the fetching and data parsing on the backend, and returns a response that is more robust for the frontend. A response such as this would work best:
This is an example of how the
api/data/forecast5/API is formatted for the frontend table. Additional fields for the spray forecast and the UAV models would need to be added into the time objects.