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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 In their detailed analysis of one of the most popular techniques, crop cutting, the authors draw on heretofore unpublished studies from northern Nigeria.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.
​​This book provides standards and guidelines for quantifying greenhouse gas emissions and removals in smallholder agricultural systems and comparing options for climate change mitigation based on emission reductions and livelihood trade-offs. Globally, agriculture is directly responsible for about 11% of annual greenhouse gas (GHG) emissions and induces an additional 17% through land use change, mostly in developing countries. Farms in the developing countries of sub-Saharan Africa and Asia are predominately managed by smallholders, with 80% of land holdings smaller than ten hectares. However, little to no information exists on greenhouse gas emissions and mitigation potentials in smallholder agriculture. Greenhouse gas measurements in agriculture are expensive, time consuming, and error prone, challenges only exacerbated by the heterogeneity of smallholder systems and landscapes. Concerns over methodological rigor, measurement costs, and the diversity of approaches, coupled with the demand for robust information suggest it is germane for the scientific community to establish standards of measurements for quantifying GHG emissions from smallholder agriculture. Standard guidelines for use by scientists, development organizations will help generate reliable data on emissions baselines and allow rigorous comparisons of mitigation options. The guidelines described in this book, developed by the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS) and partners, are intended to inform anyone conducting field measurements of agricultural greenhouse gas sources and sinks, especially to develop IPCC Tier 2 emission factors or to compare mitigation options in smallholder systems.
Excerpt from Estimating Cropland Development by the Use of Satellite Imagery The lacie project, the Large Area Crop Inventory Experiment, was a cooperative project of the u.s. Department of Agriculture (usda), the national.aeronautics and Space Administration (nasa), and the National Oceanic and Atmospheric Administration (noaa) of the u.s. Department of Commerce. It was initiated to develop, test, and evaluate a system for predicting area, yield, and production estimates for ma jor wheat producing areas of the world through the combined use of satellite, weather, climate, and historical agricultural data (lacie, The objective of lacie was to estimate the production of wheat on a country-by - country basis. Aerial extent of wheat was derived from a computer assisted analysis of Landsat data while yield was estimated from statistical models which relate crop yield to local meteorological conditions, notably precipitation and temperature. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Farming and agriculture is the primary occupation in a nation like India. It has always proved to be important that we work towards constructing projects and systems that subsequently help in making a social reform where it is needed the most. Hence, it comes as no surprise that not only the government but also prominent science project centres have always paid a lot of attention and never hesitated from taking initiatives and efforts in assisting build different projects that help in development and progress in the same field. We also aim in building a project that draws an estimation about which crop is yielded at which rate in which district of Maharashtra. There are a number of algorithms that have proven to be helpful in finding out the estimation. We have taken use of Multiple Regression algorithm, which helped us to compute the yield estimation. The foremost goal of our project is to facilitate farmers and cultivators with an estimation system that helps them approximate the yield of crops and ultimately leads to a better and smarter farming structure for farm level.
Originally published in 1984, this text was written as a guide to agricultural policy makers, planners and project managers in developing countries, particularly for those in the areas of programme formulation and implementation. Elements from successful agricultural and rural development plans have been selected. The work discusses the link between agricultural and overall planning, the various aspects of agricultural planning (including the usual components and deficiencies of plans, time horizons and scope of plans, and regional planning), and it concludes with brief look at the preparation of a plan and objectives for agricultural development.