Results 61 to 70 of about 163,439 (186)

Monitoring Crop Yield in USA Using a Satellite-Based Climate-Variability Impact Index [PDF]

open access: yes, 2011
A quantitative index is applied to monitor crop growth and predict agricultural yield in continental USA. The Climate-Variability Impact Index (CVII), defined as the monthly contribution to overall anomalies in growth during a given year, is derived from
Anderson, Bruce   +4 more
core   +1 more source

Contribution of Remote Sensing on Crop Models: A Review [PDF]

open access: yes, 2018
Crop growth models simulate the relationship between plants and the environment to predict the expected yield for applications such as crop management and agronomic decision making, as well as to study the potential impacts of climate change on food ...
Ahuja   +17 more
core   +1 more source

Using NDVI and guided sampling to develop yield prediction maps of processing tomato crop

open access: yesSpanish Journal of Agricultural Research, 2015
The use of yield prediction maps is an important tool for the delineation of within-field management zones. Vegetation indices based on crop reflectance are of potential use in the attainment of this objective.
Rafael Fortes   +4 more
doaj   +1 more source

Using weeds to reduce pest insect numbers in organic vegetable crops - a desk study (OF0329) [PDF]

open access: yes, 2006
At present, weeds and pest insects are two of the major constraints to the production of high quality organic vegetable crops, primarily because the range of control measures available to UK growers is extremely limited.
Grundy, Dr Andrea
core  

Crop Yield Prediction using Granular SVM

open access: yesThe International Journal of Recent Technology and Engineering (IJRTE), 2021
Agriculture is the backbone of the Indian economy. Farming is a major source of income for many people in developing countries. Prediction of yield of crops is desirable as it can predict the income and minimise losses for the farmersunder unfavorable conditions.
openaire   +1 more source

Fuzzy Inference Systems for Crop Yield Prediction

open access: yesJournal of Intelligent Systems, 2012
Prediction of crop yield is significant in order to accurately meet market requirements and proper administration of agricultural activities directed towards enhancement in yield.
Jayaram M. A., Marad Netra
doaj   +1 more source

Opportunities and constraints for improved vegetable production technology in tropical Asia [PDF]

open access: yes, 2009
A description of the characteristics of vegetable production in tropical Asia is presented. The description is followed by a discussion of the opportunities and constraints of improved non-seed vegetable production technologies.
Everaarts, A.P., Putter, H., de
core   +3 more sources

INCORPORATION OF WITHIN-SEASON YIELD GROWTH INTO A MATHEMATICAL PROGRAMMING SUGARCANE HARVEST SCHEDULING MODEL [PDF]

open access: yes
This study focuses on the development of a optimal harvest scheduling mathematical programming model which incorporates within-season changes in perennial crop yields.
Champagne, Lonnie P.   +2 more
core   +1 more source

Penggunaan Model Dengan Program Csmp Untuk Menduga Potensi Hasil Padi Berdasarkan Pendekatan Iklim, Tanah Dan Tanaman*[model Utilization by Csmp (Continuous System Modelling Program) in Rice Yield Potential Prediction with References to Climate, Soil and P [PDF]

open access: yes, 2000
Most of rice yield potential prediction models are focussed on optimization of two factors(i. e. soil and crop factors) than another(climate).It is probably due to significant influence of soil and crop factors thananother in rice production.In fact,the ...
Estiningtyas, W. (Woro)
core  

Crop Planning using Stochastic Visual Optimization

open access: yes, 2017
As the world population increases and arable land decreases, it becomes vital to improve the productivity of the agricultural land available. Given the weather and soil properties, farmers need to take critical decisions such as which seed variety to ...
Gupta, Bindu   +5 more
core   +1 more source

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