• 2024-10-14 Monday

                                               Content

Chapter 1 The development background of smart agriculture... ...........................1

1.1 The application history of AI in agriculture.......................................................1

1.2 Smart agriculture and its development trend.................................................. 8

 

Chapter 2 Agricultural intelligence analysis...................................................... ...12

2.1 Agricultural data mining..................................................................................12

2.1.1 Features of agricultural data mining............................................................12

2.1.2 Agricultural network data mining.................................................................13

2.1.3 Application of agricultural data mining........................................................16

2.2 Semantic analysis of agricultural data ......................................................... 18

2.2.1 Semantic model of agricultural data.......................................................... 18

2.2.2 Agricultural data storage model..................................................................19

2.2.3 Knowledge discovery in agricultural data...................................................20

2.2.4 Semantic retrieval of agricultural data........................................................21

2.2.5 Collaborative construction of distributed agricultural knowledge................21

2.3 Image recognition of agricultural diseases and pests....................................22

2.3.1 Framework of automatic monitoring and identification system for 

        agricultural pests and diseases based on machine vision ..........................23

2.3.2 Image collection method of agricultural pests and diseases .....................24

2.3.3 Image preprocessing of agricultural pests and diseases............................26

2.3.4 Feature extraction and recognition model construction of agricultural pests 

         and diseases............................................................................................. 27

2.3.5 Pattern recognition of agricultural diseases and pests.............................. 28

2.4 Animal behavior analysis ............................................................................. 29

2.5 Non-destructive testing of agricultural products .......................................... 34

2.5.1 Non-destructive testing of agricultural products.........................................35

2.5.2 Main methods and basic principles of non-destructive testing of 

         agricultural products ................................................................................. 36

2.5.3 Application of non-destructive testing in agricultural product quality testing.. 38

2.5.4 Problems and Prospects............................................................................38

 

Chapter 3 Typical agricultural expert system and decision support....................40

3.1 Crop production decision-making system......................................................40

3.1.1 Concepts and functions of crop production decision support system........ 40

3.1.2 Development of crop decision support system ...........................................41

3.1.3 Agricultural database for crop production decisions ...................................41

3.1.4 Crop production decision making models....................................................42

3.1.5 Crop production decision system combining agro-machinery and 

         agronomy.....................................................................................................43

3.2 Crop disease diagnosis expert system.......................................................... 45

3.2.1 Knowledge expression of disease diagnosis...............................................45

3.2.2 Fuzzy description of crop diseases..............................................................47

3.2.3 Disease diagnosis knowledge reasoning.....................................................47

3.2.4 Crop disease diagnosis based on image recognition..................................48

3.3 Expert system for aquaculture management..................................................49

3.3.1 Problems and development trend of aquaculture management..................49

3.3.2 Aquaculture environmental monitoring ........................................................51

3.3.3 Fine feeding decision....................................................................................52

3.3.4 Disease warning and remote diagnosis........................................................53

3.3.5 Intelligent management of aquatic production..............................................54

3.4 Animal health breeding management expert system.......................................54

3.4.1 Electronic feeding station for pregnant sows................................................54

3.4.2 Precise feeding system for lactating sows....................................................56

3.4.3 Precision feeding system for individual cows................................................57

3.4.4 Livestock and poultry breeding environmental monitoring system................58

3.5 Multi-ethnic language agricultural production management expert system......59

3.5.1 Multi-ethnic language intelligent agricultural instant translation system 

        structure .........................................................................................................59

3.5.2 Multi-ethnic language agricultural intelligent information processing system

        machine translation process.......................................................................... 60

3.5.3 The key technology of translation in the multi-ethnic language agricultural 

         information platform...................................................................................... 62

3.5.4 Multi-ethnic language agricultural intelligent information processing system

         machine translation results........................................................................... 63

3.6 Agricultural Spatial Information Decision Support System................................66

 

Chapter 4 Typical Agricultural Robot........................................................................71

4.1 Solanum fruit grafting robot ...............................................................................74

4.1.1 Significance of the research background .......................................................74

4.1.2 Research status at home and abroad.............................................................74

4.1.3 Key technologies and research hotspots........................................................76

4.1.4 Case analysis..................................................................................................77

4.1.5 Existing problems and development strategies..............................................78

4.2 Fruit and vegetable picking robot......................................................................79

4.2.1 The significance of the research background .............................................. 79

4.2.2 Current research status at home and abroad............................................... 79

4.2.3 Key technologies and research hotspots.......................................................80

4.2.4 Case analysis ................................................................................................81

4.2.5 Existing problems and development strategies..............................................82

4.3 Field weeding robot.......................................................................................... 83

4.3.1 Significance of research background ........................................................... 83

4.3.2 Current research status at home and abroad................................................84

4.3.3 Key technologies and research hotspots...................................................... 84

4.3.5 Existing problems and development strategies..............................................86

4.4 Agricultural product sorting robot .....................................................................87

4.4.1 The development status of agricultural product sorting robots......................88

4.4.2 Application characteristics and supporting technology of agricultural 

         product sorting robots....................................................................................90

4.4.3 Main issues and suggestions.........................................................................92

 

Chapter 5 Agricultural precision operation technology... ........................................94

5.1 Tractor automatic navigation............................................................................ 94

5.2 Intelligent measurement and control of agricultural machinery operation ....... 97

5.3 Application of fruit trees to target ....................................................................101

5.3.1 Current status of pesticide application operations in orchards in my

         country......................................................................................................... 101

5.3.2 Intelligent pesticide application based on target detection...........................102

5.3.3 Target detection technology......................................................................... 102

5.3.4 Economy and environmental protection of target application.......................106

5.4 The integration of water and fertilizer for facility vegetables............................106

5.4.1 Application of water and fertilizer integration in facility vegetables...............107

5.4.2 Intelligent irrigation and fertilization equipment.............................................108

5.4.3 Development trend of integrated water and fertilizer for facility 

         vegetables ....................................................................................................110

5.5 Intelligent control of facility environment..........................................................112

5.5.1 Greenhouse environment and crop information collection............................112

5.5.2 Greenhouse crop growth and development models and microclimate 

         prediction models..........................................................................................115

5.5.3 Greenhouse intelligent environment control Theory......................................116

5.5.4 Measurement and control equipment and platform construction...................117

5.6 Autonomous operation of agricultural drones...................................................117

5.6.1 Background of autonomous operation requirements for agricultural dron.....117

5.6.2 Technical characteristics of autonomous operation of agricultural drones.....118

5.6.3 The development status of autonomous operation of agricultural drones......119

5.6.4 Seize the opportunity to meet the challenge of challenging AI technology.....122

Chapter 6 Prospects for smart agriculture...............................................................123

6.1 Analysis of current agricultural development needs..........................................123

6.2 Development priorities and suggestions ...........................................................123

Attachments

Attachment1. 中国人工智能系列白皮书-智能农业(final).pdf

Chinese Association for Artificial Intelligence
2016-10-09


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