This paper presents a model for constrained multiobjective optimization of mixedcropping planning. The decision challenges that are normally faced by farmers include what to plant, when to plant, where to plant and how much to plant in order to yield maximum output. Consequently, the central objective of this work is to concurrently maximize net profit, maximize crop production and minimize pla...

Despite increasing attention to the human dimension of conservation projects, a rigorous, systematic methodology for planning for ecosystem services has not been developed. This is in part because flows of ecosystem services remain poorly characterized at local-to-regional scales, and their protection has not generally been made a priority. We used a spatially explicit conservation planning fra...

Mr Gray dealt very largely with the finances of growing a crop of trees but there are a number of other factors which have considerable influence on forest policy and economic planning and I propose to highlight a few of these The details are relevant to Northern Ireland and were originally prepared in somewhat greater detail for a symposium of forest officers Opinions and forecasts are not off...

Data Mining is the process of extracting useful information from large datasets. Data mining techniques till now used in business and corporate sectors may be used in agriculture for data characterization, discrimination and predictive and forecasting purposes. Data mining in agriculture is a novel research field. Recently Knowledge Management in agriculture facilitating extraction, storage, re...

Intercropping, which is the agricultural practice of growing two or more crops in the same land area, is not currently yielding adequate results in Africa. Despite the advantages of intercropping like improved soil fertility, protection against pests and diseases and eventual increase in farm yield, this farming practice is faced with challenges—inadequate planning, bad crop management and lack...

Intercropping, which is the agricultural practice of growing two or more crops in the same land area, is not currently yielding adequate results in Africa. Despite the advantages of intercropping like improved soil fertility, protection against pests and diseases and eventual increase in farm yield, this farming practice is faced with challenges—inadequate planning, bad crop management and lack...

Over the recent past, there has been a growing concern on the need for mapping cropping practices in order to improve decision-making in the agricultural sector. We developed an original method for mapping cropping practices: crop type and harvest mode, in a sugarcane landscape of western Kenya using remote sensing data. At local scale, a temporal series of 15-m resolution Landsat 8 images was ...

the estimation of effective rainfall is an important technique for exploiting the rainwater resource, planning for irrigation in irrigated agriculture, and determining changes in dryland wheat products for country's macroeconomic management. in this research, a two-layer soil-water balance model based on a new approach has been formulated to estimate the effective rainfall in dryland wheat crop...

A crop load estimation is important for efficient apple orchard management. This information is important for planning and assigning appropriate labor pool and equipment for harvesting and transportation of fruits from orchard to packing houses. Current machine vision-based techniques for crop load estimation have achieved only limited success. Two primary factors affecting the accuracy of such...

The scarcity of water compared with the abundance of land constitutes the main drawback within agricultural production. Besides the improvement of irrigation techniques a task of primary importance is solving the problem of intra-seasonal irrigation scheduling under limited seasonal water supply. An efficient scheduling algorithm has to take into account the crops’ response to water stress at d...