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All Journal Journal of Agricultural Economy and Technology Development Digital Agriculture and Innovation Journal
Junaedi, Ajeng Syadiar
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance

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Improvement Welfare Farmer through Sustainable Land Management A Study of Economic and Environmental Outcomes in Agroecosystem Junaedi, Ajeng Syadiar
Journal of Agricultural Economy and Technology Development Vol. 1 No. 1 (2024): Journal of Agricultural Economy and Technology Development
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jaetd.v1i1.4

Abstract

Changes climate and degradation ongoing land​ globally causing​ challenge significant for farmers , especially in increase productivity and maintaining sustainability environment . Management land sustainable become approach important For overcome problem said . Research This aiming For analyze impact implementation technique management land sustainable to welfare economy farmers and quality environment in the research area . Research This use method quantitative descriptive with sample as many as 100 farmers have apply technique like rotation plants , agroforestry , and use fertilizer organic . Data collected through survey , observation field , and interviews , then analyzed use statistics descriptive and multiple linear regression . The results of the study show that technique management land sustainable increase income farmer up to 25% and repair quality land and water conservation . On the other hand , the obstacles main implementation technique This covering lack of knowledge technical and cost high start . Research​ This give proof empirical that management land sustainable can increase welfare economy farmers and support effort conservation environment , so that worthy For pushed in policy agriculture national.
IoT and Learning Integration Machine For Optimization Irrigation on Land Small-scale farming Junaedi, Ajeng Syadiar
Digital Agriculture and Innovation Journal Vol. 1 No. 2 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i2.7

Abstract

Study This study integration Internet of Things (IoT) technology and learning machine For optimize irrigation of land agriculture scale small . Method qualitative involving humidity sensor installation soil and temperature air , data processing​ local on edge devices using learning models machines , as well as interview deep with farmers . The results show that the edge- based model ‑achieves accuracy prediction daily water requirements with RMSE 3.9 mm and lower average water ‑usage 28%. Real ‑time response without internet dependency , mobile friendly ‑interface , as well as cost low operational​ speed up adoption technology . The implication is that the system This capable increase water efficiency , pressing cost production , and support agriculture sustainable at the level micro .
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