Tag Archives: sensors

Biofertilizer Impacts on Soybean [Glycine max (L.)] Cultivation, Humid Tropics : Biological Nitrogen Fixation, Yield, Soil Health and Smart Agriculture Framework (Published)

Biological nitrogen fixation (BNF) soybean cultivar TGx 1440 -1E cultivation for grain yields and soil microbiome with different soil amendments in humid tropics in the late cropping season of 2010, Abeokuta, Nigeria, at Latitude 70 121 N and Longitude 30 251 E in randomized complete block design (RCBD) replicated three times. Treatments application includes: agro-waste recycled to biofertilizer in anaerobic biodigester with two biofertilizer formulations (GF1 and GF2), sunshine fertilizer (SF) and chemical fertilizer (NPK 20:10:10).  Soybean vegetative growth parameters, nodulation, amount of nitrogen fixed, yield and yield components were determined at 8 weeks after planting (WAP). GF2 had significantly (P < 0.05) higher number of leaves. GF1 had significantly (P < 0.05) higher number of pods and seed weight/plant with lower biological nitrogen fixation, compared to other treatments. Soybean cultivars breeders should integrate biofertilizer into seed development programme, that bypass the naturalized soil rhizobia and nodulate only with highly effective inoculant strains under environmental stress, improved  soil resilience for climate mitigation with rhizosphere-microbial interactions to manage soybean cyst nematode (SCN). Smart agriculture framework developed impacts on trans-disciplinary approach, soyabean cultivation nitrogen use efficiency (NUE), remote access to agriculture data in real-time, crop development, supply chain management, proftability and biofertilizer varietal characteristics.

Keywords: Agriculture 5.0, Biofertilizer, Biological nitogen fixation, Microbiome, Nodulation, Rhizobium, Rhizosphere engineering, Soyabean, Wicked Problems, sensors, soil health

An Energy-Efficient ECC Scheme for Wireless Sensor Networks (Published)

The field of wireless sensor networks (WSNs) combines sensing, computation, and communication into a single tiny device called a sensor. Sensors are equipped with RF radio, processor, memory and hardware. They are also battery powered and therefore have severe energy, bandwidths and memory constraints, and low computational capability. Communication over WSNs is still known to be attack-prone because the constraints of sensors hinder the development of secure modern cryptographic solutions. The Elliptic Curve Cryptography (ECC) technique and the Rivest Shamir Adleman (RSA) algorithm are the two most popular public key cryptographic schemes deployed over wireless networks. The effectiveness of the ECC technique over RSA has been demonstrated in this research. While ECC with very large key sizes is thought to be computationally expensive, it is possible to use smaller primes, or smaller finite fields, with elliptic curves and achieve a level of security comparable to that for much larger integer mod n. Measurements have been made to prove that ECC algorithms can be executed within the memory limits of sensor nodes. An enhanced ECC scheme with collision resistant hash functions is proposed in this research.

Keywords: ECC, RSA, Security, Wireless Sensor Networks, communication, sensors