The Report introduces and discusses the problem of measuring area and yield of vegetable crops, by exploring and testing methods such as farmer inquiry and objectives measurement and to propose a methodology for the production of data and statistics. A pilot test has been performed in two selected districts in Ghana to assess the methodology and the workability of the methods.
This Handbook aims to serve as a guide for statisticians from National Statistical Services seeking to improve their data collection methods to produce crop statistics, and to become the new reference document for estimating crop area, yield and production.
An 8-page brochure on Methods for Measuring Crop Area and Yield is now available.
The overall goal of the study is to test the methodology and the approach developed by the Agriculture Market Information System (AMIS) project, which outlined the use of available data to estimate certain critical variables on food balance sheets, especially Carry-in Stocks (also called Carry-over stocks), and Production.
On the basis of a gaps analysis, a methodology has been developed to estimate crop area and crop yield in mixed and continuous cropping scenarios.
This Working Paper provides findings of field tests conducted in three countries i.e. Indonesia, Rwanda and Jamaica on the basis of the methodology developed by the team at ICAR-IASRI for the estimation of crop area, yield and production under mixed and continuous cropping.
This publication, prepared in the context of the AMIS Initiative, provides insights into the complexity of the crop yield forecasting system at country level whilst highlighting good practices and prospects for the future.
This Working Paper provides a review of the literature on methodologies used for estimation of crop area and crop yield in developed and developing countries.
This report is the second in the series which describes the gap analysis that exists in the context of crop area and yield estimation, and in general, focuses more on crop area and yield estimation in the mixed and continuous cropping scenario.