Digital Agriculture and Innovation Journal

Evaluation Sustainability Agriculture Precision Based Robotics and Sensors against Efficiency Use Source Water Power

Aulia Rizki — Mon, 25 Aug 2025 00:00:00 +0000

Agriculture precision become solution strategic in face challenge efficiency use source water resources in the sector agriculture , especially in tropical areas that are prone to water crisis . Research This aim evaluate sustainability system agriculture precision based deep robotics and sensors increase water efficiency . Research done with approach qualitative studies cases in two location agriculture tropical which has apply system precision based on humidity , weather and irrigation sensors automatic . Data collection techniques are carried out through interviews , observations field , and sensor documentation , then analyzed in a way thematic . The results show decline irrigation water consumption up to 42%, an increase accuracy water distribution , as well as subtraction burden manual work . System this is also accepted good by farmers after through stages training and adaptation . Implications study This push development technology agriculture efficient , adaptive , and sustainable precision in water management in an era of change climate .

Analysis Effectiveness Feed Warehouse Automation Cattle Using Smart Sensors and Robotics

Komarudin Komarudin — Mon, 25 Aug 2025 00:00:00 +0000

Improvement efficiency operations in the sector farm be one of focus main in face challenge productivity and sustainability . Research This aim For analyze effectiveness system automation warehouse feed livestock that integrates smart sensors and robotics , with studies cases in two warehouse scale middle school in Indonesia. Approach qualitative used with method studies case through interview in-depth , observation field , and analysis document system automation . Research results show that automation capable lower time distribution up to 44%, reducing need power Work by 50%, and increase accuracy recording stock until more from 95%. Users system show adaptation positive after training and systems proven support transparency as well as safety work . Implications from study This leading to potential replication system For farm scale more wide and become base for development technology logistics farm smart in Indonesia.

Utilization System Big Data -Based Pest Prediction in Plants Horticulture : Study Cases in Tropical Regions

Sri Wahyuni Lubis — Mon, 25 Aug 2025 00:00:00 +0000

Attack difficult pests predicted is challenge main in cultivation plant horticulture in tropical regions . Research This aim For evaluate utilization system prediction pest big data based designed For give warning early and recommendations more control accurate . Approach research used is qualitative with method studies case to three group farmer horticulture in tropical Indonesia. Data collected through interview in-depth , observation field , and documentation use A predictive digital system that integrates microclimate data , field sensors , and machine learning algorithms . Research results show that use system This lower intensity attack pest by 30–50% and increase efficiency use pesticides . Farmers with greater digital literacy tall show level adoption more systems good . Findings This give contribution important for development system agriculture adaptive precision to change climate tropical and can push taking decision data- based at the level field .

The Role of Blockchain Technology in Ensure Transparency Chain Supply Product Agriculture Organic

Faozi Muhamad — Mon, 25 Aug 2025 00:00:00 +0000

Transparency and traceability information in chain supply product agriculture organic become challenge main in guard trust Consumers and the integrity of organic labels . Research This aim For explore role blockchain technology in ensure data transparency and validation of distribution processes product organic . The method used is approach qualitative through studies field against 15 perpetrators chain supplies , including farmers , cooperatives , distributors, and agritech startups . Research results show that blockchain is capable of increase traceability products , speed up the audit process, and build system more reporting trusted . Although adoption technology This Still face obstacle like limitations digital literacy and infrastructure , potential its integration very big especially at the level cooperatives and retail. Research This give implications practical for development system chain supply agriculture based technology as well as push collaboration cross actor For build system more food transparent and accountable .

IoT and Learning Integration Machine For Optimization Irrigation on Land Small-scale farming

Ajeng Syadiar Junaedi — Mon, 25 Aug 2025 00:00:00 +0000

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 .