WO2022123507A1 - Système distribué et procédé mis en œuvre par ordinateur pour calculer une date optimale d'application d'un briseur de dormance - Google Patents

Système distribué et procédé mis en œuvre par ordinateur pour calculer une date optimale d'application d'un briseur de dormance Download PDF

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Publication number
WO2022123507A1
WO2022123507A1 PCT/IB2021/061553 IB2021061553W WO2022123507A1 WO 2022123507 A1 WO2022123507 A1 WO 2022123507A1 IB 2021061553 W IB2021061553 W IB 2021061553W WO 2022123507 A1 WO2022123507 A1 WO 2022123507A1
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WO
WIPO (PCT)
Prior art keywords
crop
dormancy
breaker
chilling
cond
Prior art date
Application number
PCT/IB2021/061553
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English (en)
Inventor
Gionata BOCCI
Giovanni MAROLLO
Daniele PEZZOLATO
Milen Marinov
Original Assignee
Valagro S.P.A.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Valagro S.P.A. filed Critical Valagro S.P.A.
Publication of WO2022123507A1 publication Critical patent/WO2022123507A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining

Definitions

  • the present invention refers to a system and a computer implemented method for calculating the optimal time of a dormancy breaker application.
  • the present invention refers to a system and a computer implemented method for calculating the optimal time of a dormancy breaker application for promoting the dormancy breaking and the bud break homogeneity.
  • the success of the flowering process is one of the main determinants of the final yield of the crop; the process itself is controlled by both genetic and environmental factors and for several species of agronomic interest temperature is the main environmental driver that allows the crop to overcome the dormancy phase and start the bud break (and later flowering) process.
  • each crop variety has its own “chill requirement” that has to be fulfilled to guarantee a successful flowering.
  • chill requirement or “cold hours” means the total number of hours required during the winter for a particular cultivar to induce the crops, preferably trees, to break dormancy and to start producing flowers; otherwise stated, the “chill requirement” is an index representative of an attitude of the crops to move to the next phenological phase.
  • dormancy breakers are available. Due to the relevance of managing dormancy in plants, and therefore the flowering switch of the same, there is a constant need of new or alternative dormancy breaker application protocols, especially with reference to the time of the application of the product, and the present invention falls into this scope and solves this need.
  • a main issue for successfully applying the dormancy breaker product refers to the ability of predicting the phenological development of the crop of interest.
  • the object of the present invention is to provide a distributed system and a computer implemented method for calculating the optimal time of a dormancy breaker application.
  • a particular object of the present invention is to provide a distributed system and a computer implemented method that calculates the optimal time without human intervention during execution.
  • a particular object of the present invention is to provide a distributed system and a computer implemented method that calculates the optimal time being efficient in terms of calculation of the cumulated time.
  • a particular object of the present invention is to provide a distributed system and a computer implemented method that calculates the optimal time learning from previous calculations.
  • the present invention refers to a distributed system for calculating the optimal time of a dormancy breaker application, according to claim 1.
  • the present invention refers to a computer implemented method for calculating the optimal time of a dormancy breaker application, according to claim 9.
  • the present invention refers to a computer program configured, in execution on a computer, to execute at least one of the steps of the method of the second aspect in the system of the first aspect.
  • Figure 1 is a schematic view of the system of the invention.
  • Figure 2 is a schematic view of a preferred embodiment of the system of figure 1 , wherein figure 2 is split in figures 2A, 2B and 2C only for sake of clarity.
  • the invention allows prediction of the phenological development of the crop of interest in a given field; the required weather data are obtained from an external weather data provider and preferably continuously fed to the model at a preset time resolution.
  • CPs cumulated chilling portions
  • a distributed system for calculating the optimal time of a dormancy breaker application to a tree crop is disclosed.
  • a dormancy breaker means a product comprising one or more compounds that when applied to a receiving plant is able to influence one or more physiological processes related to floral induction and/or promoting the bud break in the receiving plants.
  • said one or more compounds are selected from the following active ingredients: plant extracts or plant by-products, algae extracts or algae byproducts, macronutrients, mesoelements, micronutrients, diterpenes, monosaccharides, disaccharides, polysaccharides, calcium sources, nitrogen sources, and combinations thereof.
  • the nitrogen source is selected from: nitric and/or ureic ammoniacal.
  • the dormancy breaker is a plant biostimulant, that according to European Biostimulant Industry Council (EBIC) definition is a composition comprising substance(s) and/or micro-organisms whose function when applied to plants and/or to the rhizosphere is able to stimulate and/or to enhance/benefit at least one of the following plant processes: nutrient uptake, nutrient efficiency, tolerance to abiotic stress, crop quality and combination thereof.
  • EBIC European Biostimulant Industry Council
  • Example of the most preferred dormancy breaker is Erger® produced by Valagro and meant for use as dormancy breaker preferably in temperate areas where the natural chilling requirements of crop species is often not satisfied.
  • the distributed system is a hardware/software platform comprising a first device 10 and a second device 20 interacting with each other and with specific databases.
  • the system comprises a first device 10 arranged to create a request Req of calculation of optimal time T_opt of a dormancy breaker application.
  • the first device 10 is a final user device comprising one among a smartphone, a tablet PC, a PDA, a smart watch or the like.
  • the first device 10 is a smartphone executing a mobile application APP, thereby representing the presentation layer of the system.
  • the system further comprises a second device 20 arranged to receive the request Req and to calculate the optimal time T_opt, thereby representing the back-end layer of the system.
  • the second device 20 is data connection with a weather data provider DB_W_COND comprising data representative of weather conditions W_cond.
  • the first device 10 comprises a first interface 11 configured to receive an indication of a crop P_crop and a variety P_var of the crop to be treated with the dormancy breaker.
  • the identification of the variety other than crop is essential to make it possible to calculate the optimal time of a dormancy breaker application; as a matter of fact, different varieties of the same crop can have different optimal threshold values for the treatment.
  • the trigger for the treatment will be different for different varieties of the same crop.
  • the first interface 11 is further configured to receive a position parameter P_pos representative of geographical coordinates of the crop of interest, to be treated with the dormancy breaker.
  • the first interface 11 comprises a graphical interface GUI showing a map MAP on which the user U marks the geographical coordinates of the crop of interest to be treated with the dormancy breaker.
  • marking the geographical coordinates of the crop of interest is carried out by tapping on the map.
  • the user can write the geographical coordinates in a suitable text box.
  • the geographical coordinates are GPS coordinates.
  • the first device 10 further comprises a first processing unit 100 configured to carry out specific functions of the first device.
  • the first processing unit 100 comprises a first transmitting module 101 , in data connection with the first interface 11 , and configured to transmit said request Req to the second device 20, based on the position parameter P_pos, the indicated crop P_crop and the indicated variety P_var.
  • the request Req is defined as a function of the position parameter P_pos, the indicated crop P_crop and the indicated variety P_var.
  • the first processing unit 100 further comprises a receiving module 102 configured to receive the calculated optimal time T_opt upon calculation by said second device 20.
  • the second device 20 comprises a second processing unit 200 configured to carry out specific functions of the second device.
  • the second processing unit 200 comprises a receiving module 201 configured to receive the request Req.
  • the second processing unit 200 further comprises a first processing module 202 configured to require to the weather data provider DB_W_COND the weather conditions W_cond as a function of the received request Req.
  • the request of weather conditions by the weather data provider is carried out at a preset time resolution PR_TR.
  • the preset time resolution PR_TR is substantially daily.
  • the calculation of chilling portions has to start at the beginning of dormancy season.
  • chilling portions CPs has to start at a first date START_DATE_1 , namely at the beginning of October, for boreal hemisphere, or at a second date START_DATE_2, namely at beginning of June, for southern hemisphere.
  • 200 comprises a start module 202A (Fig.2) configured to allow the first processing module 202 to require to the weather data provider DB_W_C0ND the weather conditions W_cond only when the selected start date START_DATE, START_DATE_2 has been reached.
  • start module 202A (Fig.2) configured to allow the first processing module 202 to require to the weather data provider DB_W_C0ND the weather conditions W_cond only when the selected start date START_DATE, START_DATE_2 has been reached.
  • the second processing unit 200 comprises a second calculating module 203 configured to receive the weather conditions W_cond from the weather data provider DB_W_COND based on the request Req, according to one of the start date START_DATE_1 , START_DATE_2.
  • the second calculating module 203 is further configured to calculate a chilling portion CP as a function at least of the received weather conditions W_cond.
  • the weather conditions W_cond comprise actual weather conditions AW_cond and forecasted time weather conditions FW_cond.
  • the forecasted time weather conditions FW_cond allow to predict if the optimal threshold values of chilling portions OPT_CPs will be reached within the next 14 days.
  • the second calculating module 203 is configured to operate both on the actual weather conditions AW_cond and the forecasted time weather conditions FW_cond.
  • the second calculating module 203 is configured to calculate the chilling portions CPs by collecting the temperatures received counting the number of received temperatures falling into a predefined range of threshold values of chilling portions MIN-MAX_CP.
  • the cumulated chilling portion value is calculated as the cumulated sum of hourly CP values starting from the beginning of the dormancy season, namely from the start date START_DATE_1 , START_DATE_2.
  • the distributed system comprises a threshold Database DB_TH_CP comprising the ranges of threshold values of chilling portion MIN-MAX_CP for each crop variety and the optimal value of chilling portions OPT_CPs.
  • the second processing unit 200 is in data connection with the threshold Database DB_TH_CP.
  • the second processing unit 200 comprises a comparing module 204 configured to receive from the threshold Database DB_TH_CP a range of threshold values of chilling portions MIN-MAX_CP provided for the dormancy breaker application.
  • the threshold Database DB_TH_CP comprises ranges of threshold values of chilling portions for each crop variety representing the earlier time limit and the later time limit of the period in which the dormancy breaker should be used in order to get optimal results on the crop of interest.
  • the comparing module 204 is further configured to compare the calculated chilling portions CPs, received by the second calculating module 203, with the received range of threshold values of chilling portions MIN-MAX_CP.
  • chilling portions CPs reached is the optimal value of chilling portions OPT_CPs contained in the threshold Database DB_TH_CP, indicating that the cold accumulated is sufficient for the variety to be treated with the specific dormancy breaker.
  • the comparing module 204 is configured to calculate the date representing the optimal time T_opt for the dormancy breaker application as a function of the calculate value of the chilling portion falling within the range.
  • the comparing module 204 is configured to calculate the date representing the optimal time T_opt for the dormancy breaker application. Accordingly, the comparing module 204 is configured to transmit the optimal time T_opt to the receiving module 102.
  • the calculated optimal time T_opt is the date range in which, based on actual weather conditions AW_cond, the value of calculated chilling portions CPs falls within the range MIN-MAX_CP and preferably has reached the optimal value of chilling portions OPT_CPs.
  • the calculated optimal time T_opt is the date range in which it has been estimated, based on the forecasted time weather conditions FW_cond, that the value of chilling portions CPs will fall within the range MIN- MAX_CP and preferably will reach the optimal value of chilling portions OPT-CPs.
  • the technical effect provided is the automatic update of the chilling portion in order to predict as soon as possible if the optimal threshold values has been reached or will be reached soon.
  • This operation, according to the invention is carried out in real time.
  • the first interface 11 is further configured to receive (see figure 2C) a date BUD_BREAK_DATE in which the crop P_crop actually starts to flower and a rating P_RATING of the crop P_crop flowering status.
  • the rating P_RATING corresponds to an estimation of the percentage of buds that have transitioned to flowering.
  • this rating P_RATING value is collected with a simple user interface, such as a five-point scale, where the lower the rating, the lower the total percentage of flowers of crops P_CROP that were able to flower.
  • the values of date BUD_BREAK_DATE and rating P_RATING can be used as proxies to estimate the effectiveness of the suggested recommendation: as such they are collected in a feedback loop in order to fine tune future recommendations.
  • the first processing unit 100 comprises a second transmitting module 103, in data connection with the first interface 11 , and configured to transmit the date BUD_BREAK_DATE and rating P_RATING values to the second device 20
  • the second device 20 comprises a second interface 205 configured to collect the feedbacks rating P_RATING and dates BUD_BREAK_DATE from the second transmitting module 103.
  • the interface 205 is in data connection with a first processing module 206 and a second processing module 207.
  • the first processing module 206 comprises a first statistical learning model configured to - at the end of the flowering season - automatically classify all the provided recommendations based on the actual results rating P_RATING.
  • the second processing module 207 comprises a second statistical learning model configured to correlate dates BUD_BREAK_DATE with the time series of collected CP values for all the fields registered in the platform where the crop P_CROP is grown; the effect achieved is the assessment on whether the use of the recommended dormancy breaker has exerted a positive effect on promoting and anticipating the onset of flowering.
  • the first statistical learning model is based on nonsupervised classification techniques such as k-means clustering or Linear Discriminant Analysis: the results of such analysis can be used by the producer of the dormancy breaker to sort out if some of the recommendations are systematically under-performing, thus needing further field trials to build a set of more sound threshold values in the Database DB_TH_CP for a given crop.
  • nonsupervised classification techniques such as k-means clustering or Linear Discriminant Analysis
  • the second statistical learning model consists of time-to-event statistical models that allow to correlate the series of CP values - provided by module 203 - with the onset of the specific event (flowering): results of these analysis can be used to fine tune the values in the Database DB_TH_CP.
  • the second processing module 207 is configured to receive from the second calculating module 203 the series of chilling portions CP values and compare them with the onset of the specific event (flowering), namely with the dates BUD_BREAK_DATE; send the result of the comparison RES_COMP to the threshold Database DB_TH_CP in order to fine tune the values in the Database.
  • the first processing unit 100 and the second processing unit 200 have been presented as divided into distinct functional modules (memory modules or operating modules) for the purpose of describing the functions thereof clearly and thoroughly.
  • the processing unit 100 and 200 are separated electronic devices, suitably programmed for performing the functions described, and the various modules can correspond to a hardware entity and/or routine software that are part of the programmed electronic device.
  • the processing unit 100 or 200 can moreover rely on one or more processors to execute the instructions contained in the memory modules.
  • the aforesaid functional modules can be distributed over several local or remote computers based on the architecture of the network they reside in.
  • the first processing unit 100 is configured to monitor the operation of the first device 10 and the second processing unit 200 is configured to monitor the operation of the second device 20.
  • the second aspect of the invention it is disclosed a computer implemented method for calculating the optimal time of a dormancy breaker Bs application to a crop carrying out all the steps provided by the devices of the invention, namely the first device 10, the second device 20, the weather data provider DB_W_COND and threshold Database DB_TH_CP
  • a computer program configured, in execution on a computer, to execute at least one of the steps of the method.
  • the computer program comprises an application APP loaded on a smartphone.
  • a system for application of a dormancy breaker comprising a distributed hardware/ software platform system for calculating optimal time of a dormancy breaker application to a variety P_var of a crop P_CROP, as previously described in the first aspect of the invention.
  • the system for application of a dormancy breaker further comprises application means 200 (fig. 1 ) adapted to applicate the dormancy breaker.
  • the application means 100 comprise a drone, an agricultural aircraft, or a sprayer.
  • the application of the dormancy breaker is carried out at the calculated date representing the optimal time T_opt for the dormancy breaker application, as previously described in the first aspect of the invention.

Abstract

L'invention concerne un système distribué de plate-forme matérielle/logicielle servant à calculer une date optimale d'application d'un briseur de dormance à une culture, comportant: un premier dispositif (10) disposé pour créer une demande (Req) de calcul de date optimale (T_opt) d'une application de briseur de dormance, un second dispositif (20) disposé pour recevoir ladite demande (Req) et pour calculer ladite date optimale (T_opt), ledit second dispositif (20) étant en liaison de données avec un fournisseur de données météorologiques (DB_W_COND); une base de données de seuils (DB_TH_CP) comportant des plages de valeurs seuils de parties de refroidissement (MIN-MAX_CP) pour chaque culture et ses variétés. L'invention concerne en outre un procédé mis en œuvre par ordinateur pour calculer une date optimale d'application d'un briseur de dormance à une culture et un programme d'ordinateur configuré, lors d'une exécution sur un ordinateur, pour exécuter au moins une des étapes du procédé.
PCT/IB2021/061553 2020-12-11 2021-12-10 Système distribué et procédé mis en œuvre par ordinateur pour calculer une date optimale d'application d'un briseur de dormance WO2022123507A1 (fr)

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IT202000030476 2020-12-11
IT102020000030476 2020-12-11

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8992655B2 (en) * 2010-07-07 2015-03-31 David Posner Methods for improving bud break
US20200151831A1 (en) * 2016-01-22 2020-05-14 The Climate Corporation Forecasting national crop yield during the growing season using weather indices

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8992655B2 (en) * 2010-07-07 2015-03-31 David Posner Methods for improving bud break
US20200151831A1 (en) * 2016-01-22 2020-05-14 The Climate Corporation Forecasting national crop yield during the growing season using weather indices

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
CESARACCIO C ET AL: "Chilling and forcing model to predict bud-burst of crop and forest species", AGRICULTURAL AND FOREST METEOROLOGY, ELSEVIER, AMSTERDAM, NL, vol. 126, no. 1-2, 20 November 2004 (2004-11-20), pages 1 - 13, XP004614417, ISSN: 0168-1923, DOI: 10.1016/J.AGRFORMET.2004.03.002 *
FUNES INMACULADA ET AL: "Future climate change impacts on apple flowering date in a Mediterranean subbasin", AGRICULTURAL WATER MANAGEMENT, ELSEVIER, AMSTERDAM, NL, vol. 164, 7 July 2015 (2015-07-07), pages 19 - 27, XP029346358, ISSN: 0378-3774, DOI: 10.1016/J.AGWAT.2015.06.013 *
HOEBERICHTS FRANK A ET AL: "Next Generation Sequencing to characterise the breaking of bud dormancy using a natural biostimulant in kiwifruit (Actinidia deliciosa)", SCIENTIA HORTICULTURAE, ELSEVIER, AMSTERDAM, NL, vol. 225, 14 July 2017 (2017-07-14), pages 252 - 263, XP085188248, ISSN: 0304-4238, DOI: 10.1016/J.SCIENTA.2017.07.011 *

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