Rice crop monitoring using multirotor UAV and RGB digital camera at early stage of growth (original) (raw)

A Comparison of Several UAV-Based Multispectral Imageries in Monitoring Rice Paddy (A Case Study in Paddy Fields in Tottori Prefecture, Japan)

ISPRS International Journal of Geo-Information

In recent years, unmanned aerial vehicles (UAVs) have been actively applied in the agricultural sector. Several UAVs equipped with multispectral cameras have become available on the consumer market. Multispectral data are informative and practical for evaluating the greenness and growth status of vegetation as well as agricultural crops. The precise monitoring of rice paddy, especially in the Asian region, is crucial for optimizing profitability, sustainability, and protection of agro-ecological services. This paper reports and discusses our findings from experiments conducted to test four different commercially available multispectral cameras (Micesense RedEdge-M, Sentera Single NDVI, Mapir Survey3, and Bizworks Yubaflex), which can be mounted on a UAV in monitoring rice paddy. The survey has conducted in the typical paddy field area located in the alluvial plain in Tottori Prefecture, Japan. Six different vegetation indices (NDVI, BNDVI, GNDVI, VARI, NDRE and MCARI) captured by UA...

Aerial Monitoring of Rice Crop Variables using an UAV Robotic System

2019

This paper presents the integration of an UAV for the autonomous monitoring of rice crops. The system integrates image processing and machine learning algorithms to analyze multispectral aerial imagery. Our approach calculates 8 vegetation indices from the images at each stage of rice growth: vegetative, reproductive and ripening. Multivariable regressions and artificial neural networks have been implemented to model the relationship of these vegetation indices against two crop variables: biomass accumulation and leaf nitrogen concentration. Comprehensive experimental tests have been conducted to validate the setup. The results indicate that our system is capable of estimating biomass and nitrogen with an average correlation of 80% and 78% respectively.

Crop Monitoring using Unmanned Aerial Vehicles: A Review

Agricultural Reviews, 2021

Unmanned aerial vehicles (UAVs) or drones have been developed significantly over the past two decades, for a wide variety of applications such as surveillance, geographic studies, fire monitoring, security, military applications, search and rescue, agriculture, etc. In agriculture, for example, remote sensing by means of unmanned aerial vehicles has proven to be the most efficient way to monitor crops from images. Unlike remote sensing from satellite images or taken from manned aircraft, UAVs allow capturing images of high spatial and temporal resolution, thanks to their maneuverability and capability of flying at low altitude. This article presents an extensive review of the literature on crop monitoring by UAV, identifying specific applications, types of vehicles, sensors, image processing techniques, among others. A total of 50 articles related to crop monitoring applications of UAV in agriculture were reviewed. Only journal articles indexed in the Scopus database with more than ...

UTILITY OF MULTISPECTRAL CAMERA IN UNMANNED AERIAL VEHICLE IN PRECISION AGRICULTURE: A REVIEW

Multilogic in Science, 2021

Precision farming is a need of an hour of the world's ticking clock. To bridge the demand and supply gap between farmers and end users, use of advanced agriculture technology has gained utmost momentum. Sensor vision-based robotics (SVR) technology is currently helpful in every field operation. Precision agriculture is useful in many ways to monitor and detect field, disease and insect detection spraying, harvesting and soil water vegetation etc. More yield and other field operations can be done in less time using these precision technologies. Currently, agriculture robotics, automated guided vehicles and drone's technology is boosting advanced agriculture technology in various ways. Without sensors we can't get any data from field and other operations. In this paper reviews on UAV have been made with multispectral imaging sensors for precision farming application. It has been observed that Multispectral camera imaging sensors with UAV (Rotary and Fixed wing) are useful to calculate various vegetation Indices with the help of various reference variables from different crops. To obtain different vegetation indices from various crops linear regression model is prominently used in the literature. Let's hope that this review will be a torchbearer to anyone who is aspirant to learn about UAV integrated sensors application in Precision Farming.

Above-ground vegetation indices and yield attributes of rice crop using unmanned aerial vehicle combined with ground truth measurements

Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2020

Rice is an important economic and staple crop in several developing countries. Indica rice cultivars, ‘KDML105’ and ‘RD6’ are clear favourites, popular throughout world for their cooking quality, aroma, flavour, long grain, and soft texture, thus consequently dominate major plantation area in Northeastern region of Thailand. The objective of present study was to validate UAV (unmanned aerial vehicle)-derived information of rice crop traits with ground truthing non-destructive measurements in these rice varieties throughout whole life span under field environment. Plant height of cv. ‘KDML105’ was more than cv. ‘RD6’ for each respective stage. Whereas, number of tillers per clump in ‘KDML105’ exhibited stability at each developmental stage, which was in contrast to ‘RD6’ (increased continuously). Moreover, 1,000 grain weight, total grain weight and aboveground biomass were higher in ‘KDML105’ than in ‘RD6’ by 1.20, 1.82 and 3.82 folds. Four vegetative indices, ExG, EVI2, NDVI and NDR...

Implementation of a Low Cost Aerial Vehicle for Crop Analysis in Emerging Countries

—Agriculture is one of the main sources of income for emerging economies like Guatemala's. Yet, only about 35% of the total arable land is used properly. Most of the farmers depend from subsistence-agriculture, nearly 80% of them live under poverty conditions and are affected by malnutrition. Information about their crop's health would be valuable to considerably increase yields, reduce the use of fertilizer and reduce losses by early detecting diseases. Satellite images and unmanned autonomous vehicles (UAVs) are often used in conjunction with multi-spectral cameras to calculate a normalized difference vegetation index (NDVI), which provides information about crops' health. Commercial NDVI solutions are extremely expensive for Guatemalan farmers, which restricts them from the benefits of the technology. In this paper, we describe the prototype development of a low-cost autonomous unmanned aerial vehicle (UAV) platform for crop analysis via NDVI. To reduce costs, a modified webcam was used for NDVI calculation. Off-the-shelf components were used to facilitate replication by other parties and a quadcopter topology was chosen given the irregularities of Guatemala's geography, Test flights were performed in sugar cane fields to evaluate the platform's autonomy and the NDVI calculation. The integration between subsystems and reliability of the NDVI results are discussed.

Three Dimensional Agricultural Land Modeling using Unmanned Aerial System (UAS)

International Journal of Advanced Computer Science and Applications, 2019

Nowadays, the unmanned aerial vehicles (UAVs) drones are mostly used in civil and military fields for security and monitoring purposes. They are also involved in the development of electronics communications and navigation systems. The UAVs are the aerial vehicles with a built-in power system having capability of controlling by a remote control system or leads to fly automatically. Rapid increase in their use due to sensors mobility in its small size that becomes the UAVs to fly at lower altitude and their significant contributions to the image processing studies, where the photogrammetric surveys in small scale areas are given importance for landslide and erosion monitoring. This paper is going to consider agriculture activities like detecting crop diseases, finding crop patterns and conduct small scale agriculture policies for study and research. In our study, the UAV drone is used for the image data collection purpose and structure form motion (SfM), algorithmic approach is utilized for producing the volumetric structure or 3-D structure of images. These 3-dimensional structures are further used for building information modeling systems and performing different operations like image classification, enhancement and segmentation. Our approach highlights better and efficient results than others agriculture images approaches captured by UAVs at high altitude.

Development of Methods Acquiring Real Time Very High Resolution Agricultural Spatial Information Using Unmanned Aerial Vehicle

Agris on-line Papers in Economics and Informatics

There is a need for high resolution spatial information to provide quality agricultural spatial information for better monitoring and management of farm activities to increase production and sustainable agricultural economic development. The Unmanned Aerial Vehicles are able to capture very high resolution spatial data that can be transformed into useful geospatial information, databases and digital maps. However, Unmanned Aerial Vehicle methods of acquiring spatial data are yet to be developed. The objective of this study was to develop methods of acquiring real time high resolution agricultural spatial data using Unmanned Aerial Vehicle. A qualitative case study research approach, and data collection method were used to achieve the objective. A ground truth data was carried out to eliminate errors. Unmanned Aerial Vehicle data acquisition system and data processing methods were developed. These methods could be used for better farm management and reduce the cost of inputs like fertilizers.

Application of drone in agriculture: A review

International Journal of Chemical Studies, 2020

The population is increasing tremendously and with this increase the demand of food. The traditional methods which were used by the farmers were not sufficient enough to fulfil these requirements. Thus, new automated methods (Drone technology) were introduced. These new methods satisfied the food requirements and also provided employment opportunities to billions of people. Drones technologies saves the excess use of water, pesticides, and herbicides, maintains the fertility of the soil, also helps in the efficient use of man power and elevate the productivity and improve the quality. The objective of this paper is to review the usage of Drones in agriculture applications. Based on the literature, we found that a lot of agriculture applications can be done by using Drone. In the methodology, we used a comprehensive review from other researches in this world. This paper summarizes the current state of drone technology for agricultural uses, including crop health monitoring and farm operations like weed management, Evapotranspiration estimation, spraying etc. The research article concludes by recommending that more farmers invest in drone technology to better their agricultural outputs.