On Friday 24 January , the sustainability project Remote Sensing for Floriculture was launched at Landgoed Tespelduyn in the Netherlands in the front of all partners involved . This labor focuses on detecting industrial plant diseases and crop abnormality using unreal intelligence ( AI ) , drones , planet and other sensors .
Last twelvemonth , research worker from the Dune and Flowerbulb Region successfully develop an AI framework that allows drones to detect disease in plants . This give in promising solvent and was awarded a Computable Award in the Digital Transformation family . With the launch of this long - expect sequel , Unmanned Valley , Greenport Duin- en Bollenstreek , NL Space Campus , Economic Board Duin- en Bollenstreek , Holland Rijnland and other organization are once again join forces to further speed the sustainability of floriculture .
Sustainability through innovationIn this young project , the bar has been raised . Besides drone , researcher will now habituate satellite image , grunge sensors and photographic camera image to detect plant diseases . By combining different technologies , it is wait to accurately distinguish which plant call for protection and , more importantly , which plants do not . The ultimate destination is that growers can easily integrate this technology into their operation so that disease are observe at an earlier stage and ( craw ) trade protection products can be used more expeditiously , sustainably and with gamey preciseness . This could potentially salve a lot of costs and reduce the risk of craw losings .
New dronesCurrent drones aviate comparatively easy and blue over plots to ensure the timber of the images collected . This is because these double need to be precise down to the millimetre . The next phase angle of the project will investigate how to speed up this unconscious process so that larger areas can be mapped . By using fresh accomplishment techniques and combining these results with other data , the researchers trust to take in data faster and more efficiently .
They are also await at using so - called ' drone boxes ' . These automated systems enable lagger to perform planned flights without a pilot . The bourdon are on understudy in a protected ' box / box ' near the subject area and can take off at any time for real - clip data solicitation .
" The first phase has taken us further and provided more insights than we had make bold to hope , thanks in part to collaboration with all stakeholders . I conceive that technical know - how in floriculture , with its complex business and sustainability challenges , can kick in not only to solutions , but also to unexampled line models for the neighborhood , " read Theo de Vries , director of Unmanned Valley . " Winning a prestigious technology laurels underscore that our approach shot is successful and that our results stand out even beyond the floriculture sphere . "
information from spaceThe timbre of satellite imagery has improve importantly in recent class . This bid potentially big - scale insights that can play a meaningful role in this case of precision agriculture . Moreover , artificial satellite provide crucial data on environmental factors such as weather conditions and soil moisture . Satellite information offers chance for grower to speed up the practical program of the results of this project .
ExpandThe new enquiry will be importantly expanded from the first project . In summation to drone and space data , other methods that could be efficient for pick up relevant information for the AI are being investigated . These include cameras on tractors , farming automaton , and solid ground sensors . The compounding of this data should eventually even make it possible to make prediction about the emergence and bed covering of disease states .
Whereas the initial focus was on recognizing botrytis in tulips and jacinth , the orbit is now being broadened . The researchers are now also looking at which other crops and disease pattern the mannikin can be made suited for . This will make the engineering science widely applicable inside and outside the decorative plant cultivation sphere .
The husbandry of the futureThe come year is all about collecting raw datum . research worker can therefore be found in the fields a band as before long as spring arrives . The new data collected will be used to further meliorate the exemplar . They are also working on translating it into practice so that growers can easily give the models with their exist equipment . The RS4F team expects to present the consequence around December 2025 .
For more information : Unmanned Valleywww.unmannedvalley.nl
