Evaluation of 3D/2D Imaging and Image Processing Techniques for the Monitoring of Seed Imbibition

Seed imbibition is a very important process in plant biology by which, thanks to a simple water income, a dry seed may turn into a developing organism. In natural conditions, this process occurs in the soil, e.g., with difficult access for a direct observation. Monitoring the seed imbibition with non-invasive imaging techniques is therefore an important and possibly challenging task if one tries to perform it in natural conditions. In this report, we describe a set of four different imaging techniques that enable to addressing this task either in 3D or in 2D. For each technique, the following items are proposed. A detailed experimental protocol is provided to acquire images of the imbibition process. With the illustration of real data, the significance of the physical quantities measured in terms of their relation to the income of water in the seed is presented. Complete image analysis pipelines are then proposed to extract dynamic information on the imbibition process from such monitoring experiments. A final discussion compares the advantages and current limitations of each technique in addition to elements concerning the associated throughput and cost. These are criteria especially relevant in the field of plant phenotyping where large populations of plants are imaged to produce quantitatively significative traits after image processin

Automatic Assessment of Seed Germination Percentage

This research was designed to investigate an automatic seed germination rate for the top of paper germination method. Chili and guinea were adopted to be used in the experiment with a 4-time repetition and 2 sets of the germination group (4-separated plates with 50 seeds per plate, 2 sets per seed type, totally 400 seeds of chili and 400 seeds of quinea). Two detection methods were proposed binary thresholding and maximum likelihood; based on color analysis. An uncontrolled environment image taking was the way to collect image data. The results were compared to a hand-labeling groundtruth. Both methods achieved accuracy rate higher than 93% which was promising to implement this system. The binary thresholding was a lightweight method suitable for a very limited resource software environment system. The maximum likelihood was more complex. The method had more potential than the binary thresholding, it was flexible to the light condition, returned few false alarms per image (less than 3 false alarms per image). Maximum likelihood could be adopted to implement in a proper environment which still could be in a mobile device

Emerging thermal imaging techniques for seed quality evaluation: Principles and applications

Due to the massive progress occurred in the past few decades in imaging, electronics and computer science, infrared thermal imaging technique has witnessed numerous technological advancement and smart applications in non-destructive testing and quality monitoring of different agro-food produces. Thermal imaging offers a potential non-contact imaging modality for the determination of various quality traits based on the infrared radiation emitted from target foods. The technique has been moved from just an exploration method in engineering and astronomy into an effective tool in many fields for forming unambiguous images called thermograms eventuated from the temperature and thermal properties of the target objects. It depends principally on converting the invisible infrared radiation emitted by the objects into visible two-dimensional temperature data without making a direct contact with the examined objects. This method has been widely used for different applications in agriculture and food science and technology with special applications in seed quality assessment. This article provides an overview of thermal imaging theory, briefly describes the fundamentals of the system and explores the recent advances and research works conducted in quality evaluation of different sorts of seeds. The article comprehensively reviewed research efforts of using thermal imaging systems in seed applications including estimation of seed viability, detection of fungal growth and insect infections, detection of seed damage and impurities, seed classification and variety identification.info:eu-repo/semantics/acceptedVersio

Sugar beet

Sugar beet has entered the age of liberalism with the abolition of production quotas in Europe. It finds itself on the world market and on an equal footing with sugar cane. France has benefited from the “AKER - Sugar beet 2020, a competitive innovation” Investments for the Future Programme, which aims to double the annual growth rate of the sugar yield per hectare of beet. It has made a scientific breakthrough by researching all of the genetic diversity available worldwide, and by carrying out genotyping before phenotyping. It is developing new genetic material, available for introduction into future sugar beet varieties. It also offers innovative tools and methods in the fields of genotyping and phenotyping, supporting players in the sector - beet growers and sugar manufacturers - in their imperative improvement in competitiveness. This book is mainly intended for scientists and professionals, and all those interested in research, development and training in the plant sector. It has just completed eight years of multidisciplinary work bringing together a hundred scientists. The AKER programme puts for a long time sugar beet in the top tier of cultivated species and helps to provide the consumer with quality sugar produced locally and under environmentally friendly conditions

Evaluation of 3D/2D Imaging and Image Processing Techniques for the Monitoring of Seed Imbibition

Seed imbibition is a very important process in plant biology by which, thanks to a simple water income, a dry seed may turn into a developing organism. In natural conditions, this process occurs in the soil, e.g., with difficult access for a direct observation. Monitoring the seed imbibition with non-invasive imaging techniques is therefore an important and possibly challenging task if one tries to perform it in natural conditions. In this report, we describe a set of four different imaging techniques that enable to addressing this task either in 3D or in 2D. For each technique, the following items are proposed. A detailed experimental protocol is provided to acquire images of the imbibition process. With the illustration of real data, the significance of the physical quantities measured in terms of their relation to the income of water in the seed is presented. Complete image analysis pipelines are then proposed to extract dynamic information on the imbibition process from such monitoring experiments. A final discussion compares the advantages and current limitations of each technique in addition to elements concerning the associated throughput and cost. These are criteria especially relevant in the field of plant phenotyping where large populations of plants are imaged to produce quantitatively significative traits after image processing

La betterave sucrière

Sugar beet has entered the age of liberalism with the abolition of production quotas in Europe. It finds itself on the world market and on an equal footing with sugar cane. France has benefited from the “AKER - Sugar beet 2020, a competitive innovation” Investments for the Future Programme, which aims to double the annual growth rate of the sugar yield per hectare of beet. It has made a scientific breakthrough by researching all of the genetic diversity available worldwide, and by carrying out genotyping before phenotyping. It is developing new genetic material, available for introduction into future sugar beet varieties. It also offers innovative tools and methods in the fields of genotyping and phenotyping, supporting players in the sector - beet growers and sugar manufacturers - in their imperative improvement in competitiveness. This book is mainly intended for scientists and professionals, and all those interested in research, development and training in the plant sector. It has just completed eight years of multidisciplinary work bringing together a hundred scientists. The AKER programme puts for a long time sugar beet in the top tier of cultivated species and helps to provide the consumer with quality sugar produced locally and under environmentally friendly conditions