Farming Decision Support by ICT Presentation at Agriculture WG The - PowerPoint PPT Presentation

Farming Decision Support by ICT Presentation at Agriculture WG The 30th APAN Meeting, 9-13, August 2010, Melia Hotel, Hanoi, Vietnam NANSEKI, Teruaki Professor, Kyushu University, Japan nanseki@agr.kyushu-u.ac.jp 1

Speech outline • 1. Introduction – The follows two examples are given as examples of ICT application for farming – 1.Appropriate agro-chemical use – 2. Succession of skilled farming operation • 2. Support of appropriate agro-chemical use by ICT – Agro-chemical regulations in Japan – Warning system for illegal agro-chemical use • 3. Succession of farming skill by ICT – Learning from skilled operator – Recording farming by skilled operator with ICT – FVS: Farming visualization system for personnel training • 4. Concluding remarks 2

2. Support of appropriate agro-chemical use by ICT • Appropriate Agro-chemical use is – One of the GAP objectives – Crucial for food safety and environment as well as security (health) of farming operator 3

Agro-chemicals Scandal and Agro-chemicals Law in Japan • Agro-chemicals Scandal of unregistered agro-chemicals happened in 2002 in Japan. – At that time, Japanese consumer felt that farm products were not safe. • This acandals became to be a big political issue and Agro-chemicals Law was revised 2003. – The revised Agro-chemicals Law has very heavy penalty on an illegal use of agro-chemicals. – three years penal servitude – one million yen (10000 US$) amercement – Any farm products with illegal use of agro-chemicals can not be sold and it is abandoned. • The standards for agro-chemical use is – very strict, detailed and complicated 4

Pesticide regulations in Japan Name of Law Agricultural Chemical Regular Law three years penal servitude Penal provision one million yen (10000 US$) (Punishment) amercement Registry number by Ministry of Identification and Agriculture, Forestry and Fisheries management system of The registry number is printed on each pesticide product commercial container. 4277 in Total Number of registered 1214(Insecticide), pesticide product 1454(Sterilizer) We identify and 1609(Herbicide) control Number of registered agrochemical by the chemicals active 477 registry number ingredient 5

The registry number and control standards of agro-chemical : A Example Name, Registered number • • Name of chemicals active ingredient • Percentage content of chemicals active ingredient • Target crop • Target pathogenic bacteria • Method Amount • • Dilution • Maximum frequency of use • (crops season) Min. pre-harvest period for pesticide use • • Maximum frequency of chemicals active ingredient The label of agro-chemical should be attached on the container by the law. 6

Example of Control standards by Agro-chemical Law : Daconil, Japan Daconel granule wettable powder Name (registered number) (No.20168) Chlorothalonil Name of chemicals active ingredient (same to TNP) Percentage content of chemicals TNP 82.5% powder active ingredient Tomato Target crop Epidemic Target pathogenic bacteria Spraying Method No description. Amount 1500 dilution Dilution Maximum frequency of use 4 times (crops season) Min. pre-harvest period for pesticide The day before harvest. use Maximum frequency of chemicals 4 times (The soil douche is within two active ingredient (Chlorothalonil) times.) MRLs (Maximum Residue Limits) 7 5ppm

Noyaku-Navi :Warning system for illegal agro-chemical use • The goal of the system is – to enable farmers to prevent carelessness in agricultural chemical misapplication. – to register the application history easily and correctly • Two types of System are developed – Mobile phone-based system • Scan bar code by camera-mobile phone • Convert the code to the registered number – OCR-based system • Hand write the date with pre-printed format sheet 8 • Convert the date to the digital data

Experimental running of the system in Yamagata Prefecture : Optical character recognition (OCR) vs. mobile phone Experimental use of the system 30 farmers used mobile phone-based system with agricultural cooperative 620 farmers used OCR-based system OCR: Optical Character Recognition 9

Noyaku-Navi System : Mobile phone-based system 2. 2. Request a Re quest a 1. 1. Prepare a Prepare a judgment for the judgment for the pe pesticide sticide plan plan Sprayi Spraying pl ng plan an 3. 3. You get You get The No Nouy uyaku- ku-na navi vi The No Nouy uyaku- ku-na navi vi judgmen judgment serve server judgmen judgment serve server resul results of s of ● Illegal judgment judgment ● Note ● Total frequency of Total frequency of use of th use of the active e active ingredient will ing edient will ● Memo exceed exceed th the total e total frequ frequency prescribed ncy prescribed in the law. in the law. 10

Mobile Phones System (cont.) :Web applications system on mobile phone 11

Mobile Phones System (cont.) 5W1H information of agrochemicals use is able to be obtained and managed by camera-equipped GPS mobile phone. Who Why when What How Where Where The 5W1H historical information on agrochemical application automatically recorded. When : time of access to the server Where : name of farm fields or latitude and longitude obtained by the GPS Who :name of producer, login ID, or identification information of the mobile phone What :registration number or name of the agrochemical, Why :images of target agricultural pest and weeds 12 How :dilution rate, amount, or images of spray may be also available

Evaluation of mobile phone-based approach want to use the Dose not want to Age mobile phone use the mobile system phone system continuously continuously Over 51 27% 73% Under 50 31% 69% Total (100%) 50% 50% Note: n=24 13

Impacts of the system • Before introduction of the OCR-based system – 31 hours (3days by 4 person) for checking the hand write agrochemical history • After introduction of the OCR-based system – 15 minutes for checking the agrochemical history – More precise checking 14

Mobile Phone vs. OCR • OCR-based system – Advantage • easy installation and extension • 16000 farmers use this system in Japan – Disadvantage: • difficult to actually collect and judge the documents often, • prejudgment just before spraying cannot be performed, • reading and correction of OCR documents at the JA branch offices are inevitable. • Mobile phone-based system – Advantage • solve the disadvantage of the OCR-based system • improve the reliability of the 5W1H information. – Disadvantage 15 • Need of practice of mobile phone operation ?

3. Succession of farming skill by ICT • Learning from skilled operator – decrease of skilled operator – increase of new employee who doesn't experience labor for farming – personnel training become an important issue in farm management • FVS: Farming visualization system enables – Recording & visualization of detailed & comprehensive information of farming operation • Purpose of FVS: Farming visualization system for personnel training – Visual textbook based on the image data of skilled operator – Scientific comparison of farming operation of skilled operator and non-skilled operator • Better understanding of skilled operation • Standardization of farming operation 16

Visualization of integrated information of FVS: Farming visualization system farming operation obtained from RFID, 17 GPS, cameras and etc.

Concept of the system How should the system be developed to apply for practical use ? ・ Not interrupt farmer’s activities during farming operations Previous system such as cell-phones and PDAs require farmers to input data ・ Be easy, quick and simple to use for non-experts (farmers) Computers are troublesome task for farmers, especially the elderly ・ Be available under many conditions without changing facilities Improvement of facilities requires considerable effort, space, and cost ・ Monitor detailed farming operation and various conditions Understand operations’ effect and promote efficient management ・ Make effective use of monitoring information in real-time Provide support applications in response to recognized farming operations Wearable device equipped with RFID reader, GPS, camera 18 and motion sensors

FVS: Hybrid type with D-GPS, Cameras, RFID readers, HMD and note-PC 19

FVS: RFID readers type with PDA Database server Two types of RFID reader Wireless LAN AP サ ー バ ー RFID Wireless Wireless Electromagnetic type Electroma netic type (13.56MHz) Reading LAN LAN Data Bluetooth WIT-150-T, Welcat Inc. record DB sending Wear arab able le PDA PDA RFID device device reader Data PDA Reading RFID reader RFID reader Objects with RFID tags (Pesticide bottle, spray, Tag Tag Tag Tag etc.) Microwave type (2.45 Microwave type (2.45GHz) Hz) µ-chip reader, Hitachi Ltd. Patenting settlement 20

Operation Recognition Method with RFID 1. RFID tags are attached to various objects 2. Perform farming operation with a wearable device 3. Analyze combination of detected RFID tags & sensor data spray control material for precision management farming operation record of farm greenhouse access control machinery 21