Boeren vanuit je zetel: toekomst of fabels?

pieter
moeneclaey

De landbouw staat continu in evolutie. Voorlopig toch nog evolutie, maar misschien zal dit weldra een revolutie worden wanneer drones en robots toegelaten worden. 

We weten nog allemaal goed wanneer we voor het eerst spraken over precisielandbouw: de gps. Zo konden we voor het eerst recht rijden op akkers en verlies van grondstoffen beperken. Meteen werd een nieuwe generatie landbouwers geboren: de satelietboeren. De kloof tussen oud en jong werd groter maar het gebruik van de technologie bleef beperkt. Dit had verschillende oorzaken: kostprijs en gebruik, maar natuurlijk ook de gemiddelde leeftijd van de landbouwers in Vlaanderen...

De tijd geeft niet stil gestaan en technologiën ontwikkelende zichzelf opnieuw. Meer en meer werd gestreefd naar grotere precisie en juistheid want leidde tot het pad van de drones en robots. Deze toestellen kunnen vele zaken in de landbouw vereenvoudigen en sneller uitvoeren maar hiervoor is een kwalitatief sensor systeem noodzakelijk. Een mogelijkheid zijn multispectrale sensoren waarover ik mijn masterproef schreef. Deze sensoren kunnen data verzamelen die met een correct logaritme de drone en robot het veld in stuurt. 

Zo kan je je velden bewerken zonder maar één vinger uit te steken en dit dus vanuit je luie zetel!



Indien je hierover meer wilt weten, moet je zeker mijn masterproef eens doornemen. Naast enkele verkennende onderzoeken met een multispectrale sensor worden ook de andere aspecten van precisielandbouw onder de loep genomen.

Bibliografie

Aerts W, Mentens N (2012) HET IMPLEMENTEREN VAN EEN MEERKANAALS GNSS-ONTVANGER MET FLEXIBELE HERCONFIGURATIE OP EEN FPGA.

 

Agrometius (2017) Partner in precisielandbouw.

 

Baert G (2016a) Bodemkunde. Aantal pagina's: 174

 

Baert G (2016b) Plantenvoeding en bodembeheer. Aantal pagina's: 150

 

Bayer Crop Science Belgium. (2017) Panelen praktijkdemo rond innovatie en duurzaamheid in de aardappelteelt.

 

Bernstein L (1975) Effects of salinity and sodicity on plant growth. Annual review of phytopathology 13: 295-312

 

Bodkin A, Sheinis A, Norton A, Daly J, Beaven S, Weinheimer J (2009) Snapshot hyperspectral imaging: the hyperpixel array camera. In Proc. SPIE, Vol. 7334, p 17.

Boshuizen C, Mason J, Klupar P, Spanhake S (2014) Results from the planet labs flock constellation.

Fitzgerald G, Rodriguez D, O’Leary G (2010) Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI). Field Crops Research 116: 318-324

 

Brevik EC, Fenton TE, Lazari A (2006) Soil electrical conductivity as a function of soil water content and implications for soil mapping. Precision Agriculture 7: 393-404

 

Bullock DG, Bullock DS, Nafziger ED, Doerge TA, Paszkiewicz SR, Carter PR, Peterson TA (1998) Does Variable Rate Seeding of Corn Pay? Agronomy Journal 90: 830-836

 

Carlson TN, Ripley DA (1997) On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment 62: 241-252

 

Chao K, Yang CC, S. Kim M, E. Chan D (2008) High Throughput Spectral Imaging System for Wholesomeness Inspection of Chicken. Applied Engineering in Agriculture 24: 475

 

Chen J, Jönsson P, Tamura M, Gu Z, Matsushita B, Eklundh L (2004) A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter. Remote Sensing of Environment 91: 332-344

 

Cheng T, Li D, Yao X, Tian Y, Zhu Y, Cao W (2015) A wavelet-based technique for extracting the red edge position from vegetation reflectance spectra. In 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp 2673-2676.

 

Clevers JGPW (1991) Application of the WDVI in estimating LAI at the generative stage of barley. ISPRS Journal of Photogrammetry and Remote Sensing 46: 37-47

 

Clevers JGPW (1999) The use of imaging spectrometry for agricultural applications. ISPRS Journal of Photogrammetry and Remote Sensing 54: 299-304

 

Corwin DL, Lesch SM (2003) Application of Soil Electrical Conductivity to Precision Agriculture. Agronomy Journal 95: 455-471

 

De Cauwer B (2015) Gewasbescherming Herbiologie. Aantal pagina's: 120

 

De Vidts B, Dierickx B, Jans R (2014) uitvoeren van GPS-metingen met behulp van Flemish Positioning Service (FLEPOS).

 

Diago M-P, Correa C, Millán B, Barreiro P, Valero C, Tardaguila J (2012) Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions. Sensors 12: 16988

 

Faries KM, Diers JR, Springer JW, Yang E, Ptaszek M, Lahaye D, Krayer M, Taniguchi M, Kirmaier C, Lindsey JS, Bocian DF, Holten D (2015) Photophysical Properties and Electronic Structure of Chlorin-Imides: Bridging the Gap between Chlorins and Bacteriochlorins. The Journal of Physical Chemistry B 119: 7503-7515

Fitzgerald G, Rodriguez D, O’Leary G (2010) Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI). Field Crops Research 116: 318-324

Filella I, Penuelas J (1994) The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. International Journal of Remote Sensing 15: 1459-1470

 

Gardner BR, Blad BL, Garrity DP, Watts DG (1981) Relationships between crop temperature, grain yield, evapotranspiration and phenological development in two hybrids of moisture stressed sorghum. Irrigation Science 2: 213-224

 

Govaerts B, Verhulst N (2010) The normalized difference vegetation index (NDVI) Greenseeker (TM) handheld sensor: toward the integrated evaluation of crop management. Part A-Concepts and case studies.

 

Grisso RD, Alley MM, Thomason WE, Holshouser DL, Roberson GT (2011) Precision farming tools: variable-rate application.

 

Groves PD (2013) Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Second Edition: Artech House.

 

Guyonneau R, BELIN E, MERCIER F, AHMAD A, MALAVAZI F (2017) Autonomous Robot for Weeding.

 

Haboudane D, Miller JR, Tremblay N, Zarco-Tejada PJ, Dextraze L (2002) Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote sensing of environment 81: 416-426

 

Haesaert G (2017) Plantenfysiologie. Aantal pagina's: 323

 

Hloben P (2007) Study on the response time of direct injection systems for variable rate application of herbicides. Universitäts-und Landesbibliothek Bonn,

 

Holmqvist R (1993) A laser optic navigation system for driverless vehicle. Arnex Navigation AB, ARNBL 344: p15

 

Humburg D (2001) Variable rate equpiment—technology for weed control. Site Specific Management Guidelines Web page: www ppi-far org/ssmg Accessed: May

 

Keicher R, Seufert H (2000) Automatic guidance for agricultural vehicles in Europe. Computers and Electronics in Agriculture 25: 169-194

Kempenaar (2018) Precisielandbouw. In

 

Kim Y, M. Glenn D, Park J, K. Ngugi H, L. Lehman B (2012) Characteristics of Active Spectral Sensor for Plant Sensing. Transactions of the ASABE 55: 293

 

Kweon G, Lund E, Maxton C (2012) The ultimate soil survey in one pass: soil texture, organic matter, ph, elevation, slope, and curvature. In 11th International Conference on Precision Agriculture.

 

Lagios E, Sakkas V, Papadimitriou P, Parcharidis I, Damiata BN, Chousianitis K, Vassilopoulou S (2007) Crustal deformation in the Central Ionian Islands (Greece): Results from DGPS and DInSAR analyses (1995–2006). Tectonophysics 444: 119-145

 

Lawrence K, Park B, W. Heitschmidt W. R. Windham G, N. Thai C (2007) Evaluation of LED and Tungsten-Halogen Lighting for Fecal Contaminant Detection. Applied Engineering in Agriculture 23: 811

 

Loghavi M, Behzadi Mackvandi B (2008) Development of a target oriented weed control system. Computers and Electronics in Agriculture 63: 112-118

 

Lukas V, Neudert L, Kren J (2009) Mapping of soil conditions in precision agriculture, Vol. 13.

 

McLean E (1982) Soil pH and lime requirement. Methods of soil analysis Part 2 Chemical and microbiological properties: 199-224

 

MicaSense. (2017a) Can RedEdge produce Digital Surface Models?

 

MicaSense. (2017b) Creating agricultural indices (NDVI, NDRE) from an Atlas GeoTIFF in QGIS

 

MicaSense. (2017c) An overview of the available layers and indices in Atlas. Vol. 2017.

 

Morris HR, Hoyt CC, Treado PJ (1994) Imaging Spectrometers for Fluorescence and Raman Microscopy: Acousto-Optic and Liquid Crystal Tunable Filters. Appl Spectrosc 48: 857-866

 

Motohka T, Nasahara KN, Oguma H, Tsuchida S (2010) Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology. Remote Sensing 2: 2369

 

Mouazen AM, Alhwaimel SA, Kuang B, Waine T (2014) Multiple on-line soil sensors and data fusion approach for delineation of water holding capacity zones for site specific irrigation. Soil and Tillage Research 143: 95-105

Mouazen Abdul (2018) Precision Agriculture. 

Mutanga O, Skidmore AK (2007) Red edge shift and biochemical content in grass canopies. ISPRS Journal of Photogrammetry and Remote Sensing 62: 34-42

 

NATURE (1994) The role of soil organic matter in sustaining soil fertility. Nature 371: 783

 

Noh HK, Lu R (2007) Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality. Postharvest Biology and Technology 43: 193-201

 

Park B, C. Lawrence K, R. Windham W, Jeff Buhr R (2001). Hyperspectral Imaging for Detecting Fecal and Ingesta Contamination on Poultry Carcasses. 2001 ASAE Annual Meeting; St. Joseph, MI. ASAE.

 

Parrot. (2017a) Parrot Sequoia.

 

Parrot (2017b) userguide.

 

Peng Y, Lu R (2006) AN LCTF-BASED MULTISPECTRAL IMAGING SYSTEM FOR ESTIMATION OF APPLE FRUIT FIRMNESS: PART I. ACQUISITION AND CHARACTERIZATION OF SCATTERING IMAGES. Transactions of the ASABE 49: 259

 

Penna N, Dodson A, Chen W (2001) Assessment of EGNOS tropospheric correction model. The Journal of Navigation 54: 37-55

 

Peñuelas J, Filella I (1998) Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends in Plant Science 3: 151-156

 

Qin J, Burks TF, Zhao X, Niphadkar N, Ritenour MA (2012) Development of a two-band spectral imaging system for real-time citrus canker detection. Journal of Food Engineering 108: 87-93

 

Qin J, Chao K, Kim MS, Lu R, Burks TF (2013) Hyperspectral and multispectral imaging for evaluating food safety and quality. Journal of Food Engineering 118: 157-171

 

Qin J, Chao K, S. Kim M (2010) Raman Chemical Imaging System for Food Safety and Quality Inspection. Transactions of the ASABE 53: 1873

 

Reder a. (2016) reflectie, absorptie en transmissie en meetwaarde. Vol. 2017.

 

Ros G, Bussink D (2012) Ontwikkeling van beslissingsondersteunende systemen voor het bijmesten van gewassen. Toepassingsmogelijkheden van gewassensoren in de Nederlandse precisielandbouw: een literatuurstudie NMI rapport 1454

 

Kim M, R. Chen Y, M. Mehl P (2001) HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY. Transactions of the ASAE 44: 721

 

Schans DAvd, Berg Wvd. (2013) Testen, Validatie en Toepassing van het Veris-sensorplatform Veldanalyse van twee percelen op veenkoloniale grond. PPO AGV, Lelystad.

 

Schans DAvd, Blok PM, Blok D, Os GJv. (2011) WURKS lesmodules precisielandbouw voor MBO & HBO. PPO AGV, Lelystad.

 

Sellers PJ (1985) Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing 6: 1335-1372

 

Silleos NG, Alexandridis TK, Gitas IZ, Perakis K (2006) Vegetation Indices: Advances Made in Biomass Estimation and Vegetation Monitoring in the Last 30 Years. Geocarto International 21: 21-28

Steketee IC cultivator. In

 

Sudduth KA, Drummond ST, Kitchen NR (2001) Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture. Computers and Electronics in Agriculture 31: 239-264

 

TOPCON (2016) CROPSEC, crop monitoring technology.

 

Tremblay N, Wang Z, Cerovic ZG (2012) Sensing crop nitrogen status with fluorescence indicators. A review. Agronomy for Sustainable Development 32: 451-464

 

Trimble. (2017) WeedSeeker Spot Spray System.

 

Vicon. (2017) vicon ratoflow RO-M geospread: de GPS gestuurde weegstrooier voor het middensegment van de markt.

 

Wang WJ, Dalal RC, Moody PW, Smith CJ (2003) Relationships of soil respiration to microbial biomass, substrate availability and clay content. Soil Biology and Biochemistry 35: 273-284

 

WorksWell. (2016) Ecology and agriculture. Vol. 2017.

 

Zhang Q, Pierce FJ (2013) Agricultural automation: fundamentals and practices: CRC Press.

 

Zillmann E, Graeff S, Link J, Batchelor WD, Claupein W (2006) Assessment of Cereal Nitrogen Requirements Derived by Optical On-the-Go Sensors on Heterogeneous Soils. Agronomy Journal 98: 682-690