CitrusDSS
The Decision Support System for citrus fruits
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CitrusDSS is the solution for farms that want to optimize citrus groves management in a sustainable way.
A DSS that allows to monitor the health of citrus fields and apply effective defense strategies against plant diseases to increase both the yield and the quality of production.
CitrusDSS supports the decisions of farmers and technicians by integrating data from forecast models, crop scouting, and remote sensing.
Why choosing CitrusDSS:
- Increase the quality and quantity of citrus fruits
- Reduce management costs
- Prevent the spread of harmful insects and diseases
- Optimize the use of water and inputs
- Monitor the status of citrus groves, also remotely
Features
- FIELD MAPPING
Geolocate the field on the map and draw it. Features will be immediately hooked. You can enable the cadastral map and enter sheet and parcel information. - SATELLITE IMAGERY
Consult Sentinel-2 satellite images with vigor, water stress and chlorophyll indices to promptly identify critical areas of the citrus fields. - CROP OPERATIONS
Register where, how and when crop operations (treatments, fertilizations, irrigation, pruning) have been carried out. You can also access phytosanitary products database. - PRODUCTION LOTS
Create and assign to each crop its own production lot to improve traceability of operations. A QR code is also generated that allows you to access and share the dedicated web page where you can consult all the information on the product. - SUSTAINABILITY
Monitor the economic (yield, production) and environmental (water consumption, input control and farm biodiversity) sustainability indicators of your farm. You can set the level to be reached for each indicator and monitor how the work is going. - WEATHER FORECASTS
Consult professional weather forecasts up to 7 days updated every hour: temperature, humidity, wind speed, rainfall. - PHENOLOGY FORECAST MODEL
Prediction of phenology to assess the needs of the citrus grove in each development stage. - IRRIGATION FORECAST MODEL
Evaluation of water requirements to carry out irrigation when necessary with the right amount of water. - FERTILIZATION FORECAST MODEL
Calculation of the total nitrogen, phosphorus and potassium needs (Kg/ha) required by the crop in order to obtain important suggestions on the doses of fertilizer to be applied. - FROST FORECAST MODEL
Frost forecast to know in advance (up to 7 days before) the harmful climatic event and the type of risk. - PEST AND DISEASES FORECAST MODEL
Prediction of infestation and diseases to assess the risk of pest (Fruit fly) and diseases (Anthracnose) and act promptly. - DECISION SUPPORT
Suggest operations to be carried out based on collected data. - CROP SCOUTING
Geolocate and register data from crop scouting by using the mobile App for phytosanitary monitoring and evaluation of quality and quantity. - TASK MANAGEMENT
Create and assign the activities to be carried out in the company to your collaborators in real time. - WEATHER STATIONS
Virtual weather station included; physical weather stations and sensors can be purchased or integrated, if already present in the company. - YIELD AND QUALITY MONITORING
Sugar content, Total Titratable Acidity, sugar/acid ratio, color, peel integrity, presence of damage, abnormal external humidity and foreign odor and/or taste; caliber, diameter, weight and juice yield. - PRESCRIPTION MAPS
Choose the most suitable vegetation index to draw up the prescription map and carry out a variable rate fertilization. - MACHINERY
Register the agricultural machinery present on the farm, any problems and maintenance carried out. You can also connect them to Agricolus by using Agrirouter.
diseasesinsectscitrusDECISION SUPPORTFIELD MAPPINGSATELLITE IMAGERYSUSTAINABILITYCROP OPERATIONSWEATHER FORECASTSWEATHER STATIONSPRESCRIPTION MAPSTASK MANAGEMENTMACHINERYPHENOLOGY FORECAST MODELIRRIGATION FORECAST MODELFERTILIZATION FORECAST MODELPEST AND DISEASES FORECAST MODELCROP SCOUTINGFROST FORECAST MODELYIELD AND QUALITY MONITORINGcitrus groves managementFruit flyAnthracnose
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