IT202100004280A1 - INTELLIGENT IRRIGATION SYSTEM - Google Patents
INTELLIGENT IRRIGATION SYSTEM Download PDFInfo
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- IT202100004280A1 IT202100004280A1 IT102021000004280A IT202100004280A IT202100004280A1 IT 202100004280 A1 IT202100004280 A1 IT 202100004280A1 IT 102021000004280 A IT102021000004280 A IT 102021000004280A IT 202100004280 A IT202100004280 A IT 202100004280A IT 202100004280 A1 IT202100004280 A1 IT 202100004280A1
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- 230000002262 irrigation Effects 0.000 title claims description 42
- 238000003973 irrigation Methods 0.000 title claims description 42
- 238000013528 artificial neural network Methods 0.000 claims description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 14
- 230000007613 environmental effect Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 239000002689 soil Substances 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 4
- 230000004044 response Effects 0.000 claims description 3
- 208000005156 Dehydration Diseases 0.000 claims description 2
- 230000009418 agronomic effect Effects 0.000 claims description 2
- 238000009529 body temperature measurement Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 230000005855 radiation Effects 0.000 claims description 2
- 230000005611 electricity Effects 0.000 claims 1
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- ZZUFCTLCJUWOSV-UHFFFAOYSA-N furosemide Chemical compound C1=C(Cl)C(S(=O)(=O)N)=CC(C(O)=O)=C1NCC1=CC=CO1 ZZUFCTLCJUWOSV-UHFFFAOYSA-N 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- Engineering & Computer Science (AREA)
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- Artificial Intelligence (AREA)
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- Life Sciences & Earth Sciences (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Environmental Sciences (AREA)
- Soil Sciences (AREA)
- Automation & Control Theory (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
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- Water Supply & Treatment (AREA)
- Preparation Of Compounds By Using Micro-Organisms (AREA)
Description
DESCRIZIONE DESCRIPTION
del brevetto per invenzione industriale dal titolo: ?Sistema di irrigazione intelligente? of the patent for industrial invention entitled: ?Intelligent irrigation system?
La presente invenzione ? relativa ad un sistema di irrigazione intelligente. The present invention ? related to an intelligent irrigation system.
Diversi sistemi di irrigazione intelligente sono noti. Una prima soluzione nota ? riportata nella domanda di brevetto CN107616079A che descrive un sistema di irrigazione intelligente basato sul protocollo di comunicazione LoRa. Il sistema di irrigazione include un nodo di raccolta dati, un gateway LoRa, servizi cloud e una piattaforma di controllo lato PC dell'irrigazione. Mediante un'unit? di raccolta, in combinazione con un'unit? di controllo di valvole dell'acqua e con la piattaforma di controllo dell'irrigazione, si ottiene lo scopo di rilevare ed elaborare pi? informazioni e di caricare dati in tempo reale a media distanza e da remoto. In tal modo si consegue un controllo intelligente dell'irrigazione di coltivazioni, con l'unit? di raccolta basata su protocollo LoRa che viene utilizzata per archiviare parametri quali l?intensit? luminosa, la temperatura e l'umidit? dell'aria, l'umidit? del suolo e altre informazioni. Agendo sulla piattaforma di controllo da PC, vengono impostati i privilegi di sistema degli utenti/amministratori, tra gli altri l?accesso a un database che archivia i dati rilevati sul campo in tempo reale. Successivamente i dati vengono elaborati e analizzati e, in particolare durante i diversi periodi di crescita delle colture, la programmazione dei tempi e degli altri parametri di controllo dell?irrigazione ? gestita in maniera ottimale. Several smart irrigation systems are known. A first known solution? reported in the patent application CN107616079A which describes an intelligent irrigation system based on the LoRa communication protocol. The irrigation system includes a data collection node, a LoRa gateway, cloud services, and a PC-side irrigation control platform. By a unit collection, in combination with a unit? control of water valves and with the irrigation control platform, the purpose of detecting and processing more efficiently is achieved. information and to upload data in real time over medium distances and remotely. In this way, intelligent control of the irrigation of crops is achieved, with the unit? collection based on the LoRa protocol which is used to store parameters such as? intensity? light, temperature and humidity? of the air, the humidity? soil and other information. By acting on the PC control platform, the system privileges of the users/administrators are set, among others access to a database that archives the data detected in the field in real time. Subsequently the data are processed and analyzed and, in particular during the different periods of crop growth, the programming of the times and other irrigation control parameters? optimally managed.
Una seconda soluzione ? descritta nella domanda di brevetto WO2018222875A1 che descrive un sistema e un metodo che include un modulo di apprendimento automatico che analizza i dati raccolti da una o pi? sorgenti come UAV, satelliti, sensori di colture montati su campata, sensori installati nel suolo e sensori di variabili climatiche. Secondo un'ulteriore forma realizzativa, il modulo di apprendimento automatico crea preferibilmente insiemi di oggetti sul campo, all'interno di una data area, e utilizza i dati ricevuti per creare un modello predittivo per ciascun oggetto sul campo, definito in base alle caratteristiche rilevate da ciascuno dei suddetti oggetti. Una terza soluzione WO2020247904A1 decrive un sistema e un metodo per analizzare i dati di sensori relativi a un sistema di irrigazione. Secondo una forma realizzativa, il sistema include algoritmi per analizzare dati in tempo reale e storici, acquisiti da sensori in comunicazione con una macchina di irrigazione meccanizzata. Inoltre, gli algoritmi in esecuzione nel sistema possono analizzare i dati dei sensori per determinare se un evento si ? verificato o se ? previsto che si verifichi. Ancora, i suddetti algoritmi sono atti a generare comandi per una macchina di irrigazione, oltre che notifiche a utenti del sistema. Secondo ulteriori aspetti peculiari del suddetto sistema, la logica di gestione pu? applicare strumenti di analisi dei dati basati sul machine learning allo scopo di rilevare modelli di manutenzione, tendenze geografiche e ambientali, e per fornire analisi predittive per eventi futuri. A second solution? described in patent application WO2018222875A1 which describes a system and method including a machine learning module which analyzes data collected from one or more sources such as UAVs, satellites, span-mounted crop sensors, soil-mounted sensors, and climate variable sensors. According to a further embodiment, the machine learning module preferably creates sets of objects in the field, within a given area, and uses the data received to create a predictive model for each object in the field, defined on the basis of the characteristics detected from each of the aforementioned objects. A third solution WO2020247904A1 describes a system and method for analyzing sensor data related to an irrigation system. According to one embodiment, the system includes algorithms for analyzing real-time and historical data acquired by sensors in communication with a mechanized irrigation machine. Additionally, algorithms running in the system can analyze sensor data to determine if an event occurred. verified or if ? expected to occur. Furthermore, the aforementioned algorithms are suitable for generating commands for an irrigation machine, as well as notifications to users of the system. According to further peculiar aspects of the aforementioned system, the management logic can apply machine learning-based data analysis tools to detect maintenance patterns, geographic and environmental trends, and to provide predictive analytics for future events.
Tali sistemi hanno per? il limite di non predire il fabbisogno irriguo giornaliero. Such systems have for? the limit of not predicting the daily irrigation requirement.
Scopo della presente invenzione ? fornire un sistema di irrigazione intelligente, in grado di fornire predire il fabbisogno irriguo giornaliero, avente, quindi, caratteristiche tali da superare i limiti degli attuali caschi intelligenti noti. Purpose of the present invention? to provide an intelligent irrigation system, capable of predicting the daily irrigation requirement, thus having characteristics such as to overcome the limits of current known intelligent helmets.
Secondo la presente invenzione viene realizzato un sistema di irrigazione intelligente, come definito nella rivendicazione 1. According to the present invention an intelligent irrigation system is achieved, as defined in claim 1.
Per una migliore comprensione della presente invenzione viene ora descritta una forma di realizzazione preferita, a puro titolo di esempio non limitativo, con riferimento ai disegni allegati, nei quali: For a better understanding of the present invention, a preferred embodiment is now described, purely by way of non-limiting example, with reference to the attached drawings, in which:
- la figura 1 mostra una vista schematica di un sistema di irrigazione intelligente, secondo l?invenzione; - figure 1 shows a schematic view of an intelligent irrigation system, according to the invention;
- la figura 2 mostra un diagramma di un algoritmo usato nel sistema di irrigazione intelligente, secondo l?invenzione. - figure 2 shows a diagram of an algorithm used in the intelligent irrigation system, according to the invention.
Con riferimento alla figura 1, ? mostrato un sistema di irrigazione intelligente 100 comprendente: With reference to figure 1, ? Shown is a 100 smart sprinkler system including:
- Un modulo elettronico di monitoraggio 101 comprendente una pluralit? di sensori, ad esempio sensori per parametri meteorologici, sensori per livello vasca, sensori di umidit?, sensori di bagnatura fogliare sensori di stato idrico della foglia, sensori di conducibilit? elettrica e di pH; - Una rete neurale 102 basata su algoritmi di apprendimento aventi in ingresso i dati forniti dai sensori del modulo elettronico di monitoraggio 101 e, in aggiunta, dati relativi a previsioni meteorologiche e dati satellitari, come indici vegetativi ottici, in grado di combinare ed elaborare tali dati in ingresso mettendo in relazione l?andamento dell?umidit? del suolo e le condizioni ambientali e della coltura con le previsioni meteo fornendo, in uscita, una risposta relativa ad un consiglio irriguo; - An electronic monitoring module 101 comprising a plurality? of sensors, such as sensors for meteorological parameters, sensors for tank level, humidity sensors?, leaf wetness sensors, water status sensors of the leaf, conductivity sensors? electrical and pH; - A neural network 102 based on learning algorithms having as input the data provided by the sensors of the electronic monitoring module 101 and, in addition, data relating to weather forecasts and satellite data, such as optical vegetative indexes, capable of combining and processing these input data by relating the trend of? humidity? of the soil and the environmental and crop conditions with the weather forecast providing, in output, a response relating to an irrigation advice;
- Un modulo 103 di controllo remoto di impianti di irrigazione che riceve la risposta di consiglio irriguo dalla rete neurale 102, la trasforma in tempo di apertura degli impianti di irrigazione e invia il segnale di apertura per un determinato tempo, calcolato a partire dal consiglio irriguo giornalmente, a elettrovalvole e idrovalvole degli impianti di irrigazione in modo da controllare la quantit? di acqua da fornire alle piante in funzione delle reali necessit?; - A remote control module 103 of irrigation systems which receives the irrigation advice response from the neural network 102, transforms it into opening time of the irrigation systems and sends the opening signal for a given time, calculated starting from the irrigation advice daily, to solenoid valves and hydro valves of irrigation systems in order to control the quantity? of water to be supplied to the plants according to their real needs;
- Una web App 104 in grado di gestire e comandare da remoto il modulo di controllo remoto 103, gestire e visualizzare le informazioni provenienti dal modulo elettronico di monitoraggio 101 e modulo di controllo remoto 103. - A web App 104 capable of remotely managing and commanding the remote control module 103, managing and displaying the information coming from the electronic monitoring module 101 and remote control module 103.
La caratteristica peculiare della soluzione consiste in un?indicazione giornaliera da poter attuare in modo automatico o previa conferma dell?utilizzatore finale. Ci? significa che oltre a fornire un?indicazione sulla quantit? di volume di adacquamento, il sistema fornisce gli strumenti per applicarlo raggiungendo un livello completo di automazione delle gestioni irrigue. The peculiar feature of the solution consists in a daily indication that can be implemented automatically or after confirmation by the end user. There? does it mean that in addition to providing an indication on the quantity? of watering volume, the system provides the tools to apply it reaching a complete level of automation of irrigation management.
La capacit? principale della rete neurale ? l?adattamento ad ogni condizione nuova in cui opera, dalle condizioni colturali, pedologiche e ambientali, fornendo un?elevata scalabilit? al sistema. The capacity? principal of the neural network ? the adaptation to every new condition in which it operates, from the cultural, pedological and environmental conditions, providing a high scalability? to the system.
I sensori di umidit? utilizzati monitorano sia il contenuto idrico nel terreno, fornendo uno stato del serbatoio di acqua a disposizione della pianta; sia la capacit? della pianta stessa di prelevare solo quella disponibile. Ci? permette di creare una calibrazione adeguata dei dati da dare in pasto agli algoritmi. The humidity sensors? used monitor both the water content in the soil, providing a status of the water tank available to the plant; is the capacity? of the plant itself to take only what is available. There? allows you to create an adequate calibration of the data to be fed to the algorithms.
Secondo un aspetto dell?invenzione, i dati forniti dai sensori del modulo elettronico di monitoraggio 101 comprendono il contenuto idrico a diverse profondit?, simulano la capacit? di suzione della pianta, le precipitazioni, la velocit? del vento, la radiazione solare, l?umidit? dell?aria e le misure di temperatura, tutti utili a fornire il valore dell?evapotraspirazione, ossia le perdite quotidiane da dover reintegrare. According to one aspect of the invention, the data provided by the sensors of the electronic monitoring module 101 include the water content at different depths, simulate the capacity suction of the plant, the rainfall, the speed? of the wind, the solar radiation, the?humidity? air and temperature measurements, all useful for providing the value of evapotranspiration, i.e. the daily losses that need to be replenished.
Secondo un altro aspetto dell?invenzione, l?operazione di fornire una relazione tra l?andamento dell?umidit? del suolo e le condizioni ambientali comprende la descrizione delle variazioni del sistema pianta-suolo e degli apporti idrici durante la stagione irrigua. According to another aspect of the invention, the operation of providing a relationship between the humidity trend of the soil and the environmental conditions includes the description of the variations of the plant-soil system and of the water supplies during the irrigation season.
Secondo un altro aspetto dell?invenzione, i dati in ingresso alla rete neurale 102 sono automaticamente integrati alla rete durante le varie stagioni per aumentare la capacit? predittiva con informazioni utili, quali l?attivit? vegetativa, lo stress idrico delle foglie, e altre informazioni utili allo scopo, calibrate con misure eseguite a terra. According to another aspect of the invention, the input data to the neural network 102 are automatically integrated into the network during the various seasons to increase the capacity? predictive with useful information, such as? activity? vegetation, the water stress of the leaves, and other useful information for this purpose, calibrated with measurements performed on the ground.
Vantaggiosamente secondo l?invenzione, la rete neurale viene costantemente allenata mediante dati, come la resa, la qualit? dei prodotti e i riscontri da parte degli operatori del settore per ottimizzare gli algoritmi esistenti su cui la rete neurale si basa. Advantageously according to the invention, the neural network is constantly trained using data, such as yield, quality? of products and feedback from industry players to optimize the existing algorithms on which the neural network is based.
Vantaggiosamente secondo l?invenzione, la rete neurale 102 pre-allenata pu? essere utilizzata per prevedere il fabbisogno idrico giornaliero delle colture in funzione delle previsioni meteorologiche e delle informazioni agronomiche. In tal modo, il sistema 100 secondo l?invenzione risulta scalabile e applicabile su diverse colture, in nuovi climi e nuove condizioni agro-ambientali. Advantageously according to the invention, the pre-trained neural network 102 can be used to predict the daily water requirement of crops based on weather forecasts and agronomic information. In this way, the system 100 according to the invention is scalable and applicable to various crops, in new climates and new agro-environmental conditions.
Secondo un altro aspetto dell?invenzione, il modulo di controllo remoto 103 ? configurato per interfacciarsi con gruppi motopompa e per leggere pressostati o contatori volumetrici. According to another aspect of the invention, the remote control module 103 is configured to interface with motor-pump groups and to read pressure switches or volumetric meters.
Vantaggiosamente secondo l?invenzione, tramite una piattaforma software o App appositamente realizzata per interfacciarsi con il sistema 100 ? possibile aprire o chiudere da remoto gli impianti irrigui, fare programmazioni irrigue automatiche e applicare il consiglio irriguo fornito dal sistema 100. Advantageously according to the invention, through a software platform or App specifically created to interface with the system 100? It is possible to remotely open or close the irrigation systems, make automatic irrigation programming and apply the irrigation advice provided by the 100 system.
In figura 2 ? mostrato un algoritmo che utilizza i dati in ingresso, li processa in uno step preliminare, li classifica, li passa ad un modello di apprendimento e fornisce la predizione della domanda di acqua o consiglio irriguo basato anche sulle previsioni meteorologiche. In figure 2 ? shown an algorithm that uses the input data, processes them in a preliminary step, classifies them, passes them to a learning model and provides the prediction of the water demand or irrigation advice also based on weather forecasts.
Pertanto, il sistema di irrigazione intelligente secondo l?invenzione consente di eseguire un?irrigazione di precisione e ?intelligente?. Therefore, the intelligent irrigation system according to the invention allows precision and "intelligent" irrigation to be performed.
Un altro vantaggio del sistema di irrigazione intelligente secondo l?invenzione ? la possibilit? di gestire da remoto l?irrigazione, mediante il monitoraggio delle grandezze ambientali visibili su una piattaforma software. Another advantage of the intelligent irrigation system according to the invention ? the possibility? to manage irrigation remotely, by monitoring the environmental parameters visible on a software platform.
Inoltre, il sistema di irrigazione intelligente secondo l?invenzione ? di facile utilizzo. Furthermore, the intelligent irrigation system according to the invention is easy to use.
Infine, il sistema di irrigazione intelligente secondo l?invenzione consente di controllare l?andamento delle informazioni ricevute dalla rete irrigua e la sua attivazione. Finally, the intelligent irrigation system according to the invention allows to control the progress of the information received from the irrigation network and its activation.
Risulta, infine, chiaro che al sistema di irrigazione intelligente secondo l?invenzione qui descritto e illustrato possono essere apportate modifiche e varianti senza per questo uscire dall?ambito protettivo della presente invenzione, come definito nelle rivendicazioni allegate. Finally, it is clear that modifications and variations can be made to the intelligent irrigation system according to the invention described and illustrated herein without thereby departing from the protective scope of the present invention, as defined in the attached claims.
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CN107616079A (en) | 2017-11-06 | 2018-01-23 | 济南大学 | Intelligent irrigation system design based on LoRa |
WO2018222875A1 (en) | 2017-06-01 | 2018-12-06 | Valmont Industries, Inc. | System and method for irrigation management using machine learning workflows |
CN109845625A (en) * | 2018-12-12 | 2019-06-07 | 珠江水利委员会珠江水利科学研究院 | A multi-dimensional parameter crop intelligent irrigation control method based on neural network |
CN109937856A (en) * | 2019-04-03 | 2019-06-28 | 北京邮电大学 | Household automatic watering system for herbaceous plants and its working method |
CN109978234A (en) * | 2019-03-01 | 2019-07-05 | 北京农业信息技术研究中心 | Soil moisture content prediction, irrigation decision method and apparatus |
CN110741914A (en) * | 2019-11-05 | 2020-02-04 | 浙江大学 | Rice field automatic water-saving irrigation system and method based on recurrent neural network |
WO2020247904A1 (en) | 2019-06-07 | 2020-12-10 | Valmont Industries, Inc. | System and method for the integrated use of predictive and machine learning analytics for a center pivot irrigation system |
WO2020255000A1 (en) * | 2019-06-21 | 2020-12-24 | Soonapse Srl | System for optimizing the use of water in irrigation based on the predictive calculation of the soil's water potential |
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2021
- 2021-02-24 IT IT102021000004280A patent/IT202100004280A1/en unknown
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2018222875A1 (en) | 2017-06-01 | 2018-12-06 | Valmont Industries, Inc. | System and method for irrigation management using machine learning workflows |
CN107616079A (en) | 2017-11-06 | 2018-01-23 | 济南大学 | Intelligent irrigation system design based on LoRa |
CN109845625A (en) * | 2018-12-12 | 2019-06-07 | 珠江水利委员会珠江水利科学研究院 | A multi-dimensional parameter crop intelligent irrigation control method based on neural network |
CN109978234A (en) * | 2019-03-01 | 2019-07-05 | 北京农业信息技术研究中心 | Soil moisture content prediction, irrigation decision method and apparatus |
CN109937856A (en) * | 2019-04-03 | 2019-06-28 | 北京邮电大学 | Household automatic watering system for herbaceous plants and its working method |
WO2020247904A1 (en) | 2019-06-07 | 2020-12-10 | Valmont Industries, Inc. | System and method for the integrated use of predictive and machine learning analytics for a center pivot irrigation system |
WO2020255000A1 (en) * | 2019-06-21 | 2020-12-24 | Soonapse Srl | System for optimizing the use of water in irrigation based on the predictive calculation of the soil's water potential |
CN110741914A (en) * | 2019-11-05 | 2020-02-04 | 浙江大学 | Rice field automatic water-saving irrigation system and method based on recurrent neural network |
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