The Journal of Agricultural Technology and Innovation (JATI) publishes cutting-edge research in the fields of agricultural science, technology, and sustainable innovation. The current issue includes articles on the latest advancements in agricultural practices, precision farming, biotechnology, and sustainable crop management.
Featured Articles in the Latest Issue
- Volume 2(Issue 2) JULY– DECEMBER 2025
Research Articles
Use of AI-Based Crop monitoring system to detect nutrient deficiency in Field Maize
Vol.2(2); Pages:1-8. Published on July 2025
Abstract
In precision agriculture nutrient deficiencies should be detected on time to ensure crop health and optimized yields. This paper assessed the performance of a crop monitoring system with the help of an AI algorithm and multispectral cameras mounted to drones to help early identification of nitrogen (N), phosphorus (P), and potassium (K) deficiencies in maize (Zea mays L.). Based on 60 hectares in Serbia, the trials have focused on determining the possibility to recover dead areas and reduce critical deficiency and put such knowledge into practice using the system in real-time. The algorithm was trained on 8,000 images annotated in field conditions and when tested against several thousand of field conditions images displayed 91.3 percent accuracy in determining the various deficiencies of the nutrients. Through this technology, early intervention measures were put in place and the increase in grain yield was a whopping 12.4 % better than the untreated controls. The research paper identifies the possibility of AI-based image recognition systems to address efficiently and effectively the problem of improving nutrient management, crop health, and yield optimization of data-dense agricultural systems. Such integration of real-time diagnostics can be a game-changer in the field of nutrient management strategies as it provides farmers with the most relevant and precise timely decisions to maximize both productivity and sustainability in agricultural practice.
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Real-time Scheduling of Irrigation Using IoT-based Soil Sensors and Mobile Apps in Small holder Farms
Vol.2(2); Pages:9-16. Published on August 2025
Abstract
The importance of water management in smallholder farming, especially in regions where there is water shortage, is growing by the day. The paper analyzed the performance of a IoT-based soil sensor network connected to a mobile decision-support program of real-time irrigation scheduling at three districts in Malaysia vegetable farms. Data gain was accurate as the system recorded the soil moisture every 30 minutes, and the recorded data were sent to a mobile application, which gave the instructions of irrigation following the specific thresholds of crop requirements in terms of soil moisture. The system was compared with the traditional irrigation where the farmers would manually gauge the moisture content of soil and they would, by their subjective impression use water. Findings indicated a positive outcome of smart irrigation system wherein there was a decrease of water consumption by 27 percent and yield increase of 11.6 percent of the okra and chili crops. The fact that the app was easy-to-use and that the alerts were timely were noted as major strengths based on the user feedback. This paper shows that using IoT-powered irrigation solutions can be an appropriate and successful way to enhance water productivity and agribusiness decisions in smallholder farming. The results hint at the potential of digital solutions to empower smallholders and allow them to optimize irrigation, decrease resource consumption, and increase water-deficient farm productivity.
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Variable Rate Drone Spraying with Biostimulant in Wheat- A Precision Spraying Pilot Study
Vol.2(2); Pages:17-24. Published on August 2025
Abstract
Optimal use of inputs is an important aspect in agriculture particularly in making it very sustainable and at the same time increasing crop yield. This paper checked the potential of variable rate spraying of a biostimulant seaweed with drones on wheat ( Triticum aestivum L. ) fields in the Netherlands. NDVI (Normalized Difference Vegetation Index) zone maps were used to deposit specific amounts of biostimulant on diverse crop vigor with a quadcopter UAV outfitted with a smart spraying module to employ both variable doses of biostimulant as well as area coverage across a 40-hectare field. The targeted treatment that could be applied with the drone also achieved greater uniformity in the canopy development, causing the increase in grain yield (9.8%). The application also saved the amount of input used by 17 percent as compared to spraying a uniform area on the ground, this was in the use of resources and environmental implication. Economic analysis demonstrated that net returns with the biostimulant application were 14% better than when no biostimulant was applied and demonstrating the cost-effectiveness of precision agriculture with the use of drones. This paper shows that the use of drone-based optimization of inputs is capable of making a modern field crop management more economically efficient, cost-effective, and crop-performance-driven, and thus, the skilful innovation thus can be used at scale.
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Solarism-powered Cold Storage Unit e Performance in Alleviating Post-Harvest Supply chain Losses in perishable horticultural supply chains
Vol.2(2); Pages:25-32. Published on September 2025
Abstract
Losses after harvest as a result of poor cold storage facilities in horticultural value chains continue to pose a great challenge to many especially in the tropics. This research was expected to assess the technical and financial efficiency of the solar-powered Cold stores that were intended to be used in three rural aggregation centers in Ghana. The units were; constructed to address cold chain weaknesses and minimized after-harvest losses in perishable crops like tomatoes and leafy vegetables. The critical performance indicators were the stabilization of temperatures inside, the energy saving criterion, enhanced shelf-life and cost reimbursement. The systems averagely kept an internal temperature of 5.4 +/- 0.8 oC thus achieving a shelf life of tomatoes and leafy greens of 4 to 6 days compared to the conventional means of storage. In addition, the cold storage units using solar power made the post-harvest losses to reduce by 39.6 percent (p < 0.01). An economic analysis revealed that the economic efficiency of the solar-powered storage system is demonstrated by the fact that the break-even of the investment recovery is realized in 18 months with a cooperatively-managed model. These results indicate that decentralized solar cold storage can be an effective way of addressing food security, food waste and maximizing the economic returns on the perishable horticultural supply chain.
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Blockchain-Centered Traceability System on how to increase Transparency and Trust in Supply Chains of Organic Produce
Vol.2(2); Pages:33-39. Published on September 2025
Abstract
Credibility in organic produce labeling by the consumers is often impeded by poor transparency and accountability in supply chains. This research explored how to apply a blockchain-enabled traceability system to increase transparency, traceability and trust within organic fruit and vegetable supply chains. The blockchain was used in 27 smallholder farms, 3 cooperative and 2 retail distributors in Spain. The platform had QR-coded smart contracts that served to capture all the broad data such as production, certification, logistic, and transaction records. The surveys and audits of the stakeholders showed that there was an increase of 93 percent in the traceability completeness, a decrease of 37 percent in the tampering of records and increase in consumer reliability at the point sale. The smallholder farmers gave significant results on time savings and associated better integration with export compliance. These results confirm the affordability capacity of the blockchain-based mechanism to promote higher transparency, responsibility, and confidence in organic agrisupply chain activity particularly in places with complicated certification systems.
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