Modern Methods In Crop Yield Forecasting And Crop Area Estimation
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Modern Techniques for Agricultural Disease Management and Crop Yield Prediction
Author | : Pradeep, N. |
Publisher | : IGI Global |
Total Pages | : 310 |
Release | : 2019-08-16 |
Genre | : Technology & Engineering |
ISBN | : 1522596348 |
Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.
Estimating Crop Production in Development Projects
Author | : Derek Poate |
Publisher | : World Bank Publications |
Total Pages | : 46 |
Release | : 1985 |
Genre | : Political Science |
ISBN | : |
This booklet examines the relative merits and limitations of various methods for measuring crop production on smallholder farms in agriculture and rural development projects. It focuses in particular on measurement techniques used in estimating annual crop yields. In their detailed analysis of one of the most popular techniques, crop cutting, the authors draw on heretofore unpublished studies from northern Nigeria. The authors stress that the choice of measurement technique depends on the type of survey to be undertaken, and they offer specific, practical recommendations that are designed to help monitoring and evaluation staff make the appropriate selections.
A Remote Sensing Driven Geospatial Approach to Regional Crop Growth and Yield Modeling
Author | : Sadia Alam Shammi |
Publisher | : |
Total Pages | : 0 |
Release | : 2021 |
Genre | : |
ISBN | : |
Agriculture and food security are interlinked. New technologies and instruments are making the agricultural system easy to operate and increasing the food production. Remote sensing technology is widely used as a non-destructive method for crop growth monitoring, climate analysis, and forecasting crop yield. The objectives of this study are to (1) monitor crop growth remotely, (2) identify climate impacts on crop yield, and (3) forecasting crop yield. This study proposed methods to improve crop growth monitoring and yield predictions by using remote sensing technology. In this study, we developed crop vegetative growth metrics (VGM) from the MODIS (Moderate Resolution Imaging Spectroradiometer) 250m NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) data. We developed 19 NDVI and EVI based VGM metrics for soybean crop from a time series of 2000 to 2018, but the methods are applicable to other crops as well. We found VGMmax, VGM70, VGM85, VGM98T are about 95% crop yield predictable. However, these metrics are independent of climatic events. We modelled the climatic impacts on soybean crop from the time series data from1980-2019 collected from NOAA's National Climatic Data Center (NCDC). Therefore, we estimated the impacts of increase and decrease of temperature (maximum, mean, and minimum) and precipitation (average) pattern on crop yields which will be helpful to monitor climate change impacts on crop production. Lastly, we made crop yield forecasting statistical model across different climatic regions in USA using Google Earth Engine. We used remotely sensed MODIS Terra surface reflectance 8-day global 250m data to calculate VGM metrics (e.g. VGM70, VGM85, VGM98T, VGM120, VGMmean, and VGMmax), MODIS Terra land surface temperature and Emissivity 8-Day data for average day-time and night-time temperature and CHIRPS (Climate Hazards Group Infra-red Precipitation with station data) data for precipitation, from a time series data of 2000-2019. Our predicted models showed a NMPE (Normalized Mean Prediction error) with in a range of -0.002 to 0.007. These models will be helpful to get an overall estimate of crop production and aid in national agricultural strategic planning. Overall, this study will benefit farmers, researchers, and management system of U.S. Department of Agriculture (USDA).
Agro-geoinformatics
Author | : Liping Di |
Publisher | : Springer Nature |
Total Pages | : 418 |
Release | : 2021-04-12 |
Genre | : Science |
ISBN | : 3030663876 |
This volume collects and presents the fundamentals, tools, and processes of utilizing geospatial information technologies to process remotely sensed data for use in agricultural monitoring and management. The issues related to handling digital agro-geoinformation, such as collecting (including field visits and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, and disseminating agro-geoinformation have never before been systematically documented in one volume. The book is edited by International Conference on Agro-Geoinformatics organizers Dr. Liping Di (George Mason University), who coined the term “Agro-Geoinformatics” in 2012, and Dr. Berk Üstündağ (Istanbul Technical University) and are uniquely positioned to curate and edit this foundational text. The book is composed of eighteen chapters that can each stand alone but also build on each other to give the reader a comprehensive understanding of agro-geoinformatics and what the tools and processes that compose the field can accomplish. Topics covered include land parcel identification, image processing in agricultural observation systems, databasing and managing agricultural data, crop status monitoring, moisture and evapotranspiration assessment, flood damage monitoring, agricultural decision support systems and more.
Crop Yield Forecasting Methods
Author | : |
Publisher | : Statistical Office of European Communities |
Total Pages | : 496 |
Release | : 1997 |
Genre | : Technology & Engineering |
ISBN | : |
Eurostat, the JRC-Ispra, DG VI and FAO jointly organized an expert consultation meeting on crop yield forecasting methods in Villefranche-sur-Mer, France, from 24 to 27 October 1994. These proceedings include the scientific papers which were presented during the conference, a synthesis of the round-table discussions and some additional presentations. These proceedings constitute an exhaustive review of the newest methods on crop yield forecasting.
Remote Sensing in Precision Agriculture
Author | : Salim Lamine |
Publisher | : Elsevier |
Total Pages | : 555 |
Release | : 2023-10-20 |
Genre | : Technology & Engineering |
ISBN | : 0323914640 |
Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones' geospatial data. The book presents case studies, new algorithms and the latest methods surrounding crop sown area estimation, determining crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment, and other issues in precision agriculture. This book is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner with its compendium of scientifically and technologically sound information. - Presents a well-integrated collection of chapters, with quality, consistency and continuity - Provides the latest RS techniques in Precision Agriculture that are addressed by leading experts - Includes detailed, yet geographically global case studies that can be easily understood, reproduced or implemented - Covers geospatial data, with codes available through shared links
Crop Forecasting by Satellite
Author | : United States. General Accounting Office |
Publisher | : |
Total Pages | : 40 |
Release | : 1978 |
Genre | : Agricultural estimating and reporting |
ISBN | : |
Sampling Techniques for Measuring and Forecasting Crop Yields
Author | : Harold F. Huddleston |
Publisher | : |
Total Pages | : 208 |
Release | : 1978 |
Genre | : Agricultural estimating and reporting |
ISBN | : |
Extract: This manual assembles information on mathematical modeling concerning crop yields for domestic and foreign users of crop statistics. In providing technical assistance to countries in the collection of agricultural data, measuring crop yields is important for decisions affecting imports and exports, as well as recommending ways of improving crop techniques. Major emphasis is placed on forecasting of current-year yield per acre prior to harvest. This publication could serve as a basis for training courses as well as a reference manual for countries developing or modifying agricultural data systems. It is important to emphasize, however, that this manual is not expected to serve as a training module without an instructor or consultant experienced in crop sampling and yield modeling.