Precision Agriculture

Precision Agriculture

1 Precision agriculture consists of the measurement of complex parameters related to the growing of crops and the application of such measurements to decision-making processes in agriculture. For instance, precision agriculture can consist of decisions on the correct dosage and application of fertilizing products, herbicides, fungicides and insecticides to the soil and to the plants. Data must be retrieved and later analyzed in a specialized way so they may be applied and the desired effects can be produced in the crop.

2 In the processes of data acquisition and the generation of valuable information for precision agriculture, two technologies are fundamental: Remote Sensing and Geographic Information Systems (GIS). In EKOFASTBA, we are experts on both technologies and have sound experience and expertise in their application and IN AN INTEGRATED MANNER. Furthermore, among the companies of the group, we have longstanding experience in sustainable agriculture, which allows us not only to produce professional reports, but also to recommend solutions and to provide monitoring and support in its implementation.

3 The Unmanned Aerial Vehicles (UAV) in EKOFASTBA, together with the specialized software and our on-site human team, assist the acquisition of these data in ways that were just inconceivable a few years ago. Following the data acquisition, our technical expert team in charge of analysis processes data and presents them in such a way that they yield a considerable value for all kinds of farmers (big, medium and small).

4 Through a combination of the use of UAVs to accurately scan agricultural areas and the professional analysis of the retrieved data, farmers are capable of detecting current problems. They can then predict forthcoming problems before they occur or become evident, and making better decisions that can help them reduce costs and increase production and benefits. Thus, they can plan and monitor their crops in a precise manner and take measures in time.

5 In the same way as doctors before the arrival of X-ray technology relied on indirect evidence to diagnose a broken bone, prior to the advent of UAV-retrieved imaging you, as a farmer or agriculturalist, had to rely on field visits, soil or foliar samples and other information sources which were usually time-consuming to obtain and were not integrally representative of the crop as a whole. For the first time ever, you may get a precise and relevant “X-ray radiography” of your crop fields at a reasonable cost by means of prescription maps which are adequate for decision-making and improving your economic profits. This helps to increase and enhance the sustainability of your crop.

General crop surveillance and early detection of multiple problems through the use of indicators referenced in the literature which have proved highly efficient
Assessment of crop health or stress levels
Evaluation of characteristics and phenology with the purpose of vegetal cross-breeding or enhancement
Creation of foliage profiles
Creation of geographical-temporal profiles for temperature, pressure and wind
Collection of spore, powder or pollen samples
Production of water quality reports
Methane and CO2 sensoring
Wireless data acquisition from soil-based sensors
Crop count and stocktaking
Production of valuable reports for ecological and organic agriculture
Monitoring of the state of the crop (phase and level of crop growth and maturity, production estimates, etc.)
Data for the prescription of actions in precision agriculture
Production of evaluation reports of drainage and irrigation systems
Extra-fast preliminary evaluation of field tasks
Adequate decision-making regarding sowing times, weed control, pest and disease control, and the monitoring of harvesting times
Planning and control of crop maintenance tasks and on-site worker teams and machinery
Topography and drainage estimations in order to design fertigation systems
Establishment of re-plantation requirements and plantation evaluation
Pest management and early pathogen detection. Evaluation of the efficiency of phytosanitary measures and control of the ideal time to apply those measures
Detection, management and monitoring of weed levels. Detection and monitoring of plant diseases
Monitoring of bank loans or agricultural financing, insurances and damage evaluation
Maintenance of the distance between birds and crude tanks or other restricted areas
Identification of fauna that may be eating the crops
Crop security and surveillance
Use of micro-UAVs for monitoring under-cover or greenhouse harvests
Fast analysis of the efficiency of nutrition or phitosanitary products and real-time comparison of results